checking_stduration disc_durati credit_histopurpose credit_amoudisc_amounsavings_sta<0 6 lo_1_year critical/other radio/tv 1169 1000_2000 no known sav0<=X<200 48 up_2_years existing paid radio/tv 5951 up_2000 <100no checking 12 lo_1_year critical/other education 2096 up_2000 <100<0 42 up_2_years existing paid furniture/equ 7882 up_2000 <100<0 24 1_2_years delayed previ new car 4870 up_2000 <100no checking 36 up_2_years existing paid education 9055 up_2000 no known savno checking 24 1_2_years existing paid furniture/equ 2835 up_2000 500<=X<1000<=X<200 36 up_2_years existing paid used car 6948 up_2000 <100no checking 12 lo_1_year existing paid radio/tv 3059 up_2000 >=10000<=X<200 30 up_2_years critical/other new car 5234 up_2000 <1000<=X<200 12 lo_1_year existing paid new car 1295 1000_2000 <100<0 48 up_2_years existing paid business 4308 up_2000 <1000<=X<200 12 lo_1_year existing paid radio/tv 1567 1000_2000 <100<0 24 1_2_years critical/other new car 1199 1000_2000 <100<0 15 1_2_years existing paid new car 1403 1000_2000 <100<0 24 1_2_years existing paid radio/tv 1282 1000_2000 100<=X<500no checking 24 1_2_years critical/other radio/tv 2424 up_2000 no known sav<0 30 up_2_years no credits/all business 8072 up_2000 no known sav0<=X<200 24 1_2_years existing paid used car 12579 up_2000 <100no checking 24 1_2_years existing paid radio/tv 3430 up_2000 500<=X<100no checking 9 lo_1_year critical/other new car 2134 up_2000 <100<0 6 lo_1_year existing paid radio/tv 2647 up_2000 500<=X<100<0 10 lo_1_year critical/other new car 2241 up_2000 <1000<=X<200 12 lo_1_year critical/other used car 1804 1000_2000 100<=X<500no checking 10 lo_1_year critical/other furniture/equ 2069 up_2000 no known sav<0 6 lo_1_year existing paid furniture/equ 1374 1000_2000 <100no checking 6 lo_1_year no credits/all radio/tv 426 lo_1000 <100>=200 12 lo_1_year all paid radio/tv 409 lo_1000 >=10000<=X<200 7 lo_1_year existing paid radio/tv 2415 up_2000 <100<0 60 up_2_years delayed previ business 6836 up_2000 <1000<=X<200 18 1_2_years existing paid business 1913 1000_2000 >=1000<0 24 1_2_years existing paid furniture/equ 4020 up_2000 <1000<=X<200 18 1_2_years existing paid new car 5866 up_2000 100<=X<500no checking 12 lo_1_year critical/other business 1264 1000_2000 no known sav>=200 12 lo_1_year existing paid furniture/equ 1474 1000_2000 <1000<=X<200 45 up_2_years critical/other radio/tv 4746 up_2000 <100no checking 48 up_2_years critical/other education 6110 up_2000 <100>=200 18 1_2_years existing paid radio/tv 2100 up_2000 <100>=200 10 lo_1_year existing paid domestic appl 1225 1000_2000 <1000<=X<200 9 lo_1_year existing paid radio/tv 458 lo_1000 <100no checking 30 up_2_years existing paid radio/tv 2333 up_2000 500<=X<1000<=X<200 12 lo_1_year existing paid radio/tv 1158 1000_2000 500<=X<1000<=X<200 18 1_2_years delayed previ repairs 6204 up_2000 <100<0 30 up_2_years critical/other used car 6187 up_2000 100<=X<500<0 48 up_2_years critical/other used car 6143 up_2000 <100no checking 11 lo_1_year critical/other new car 1393 1000_2000 <100no checking 36 up_2_years existing paid radio/tv 2299 up_2000 500<=X<100<0 6 lo_1_year existing paid used car 1352 1000_2000 500<=X<100no checking 11 lo_1_year critical/other new car 7228 up_2000 <100no checking 12 lo_1_year existing paid radio/tv 2073 up_2000 100<=X<5000<=X<200 24 1_2_years delayed previ furniture/equ 2333 up_2000 no known sav0<=X<200 27 up_2_years delayed previ used car 5965 up_2000 <100no checking 12 lo_1_year existing paid radio/tv 1262 1000_2000 <100no checking 18 1_2_years existing paid used car 3378 up_2000 no known sav0<=X<200 36 up_2_years delayed previ new car 2225 up_2000 <100no checking 6 lo_1_year all paid new car 783 lo_1000 no known sav0<=X<200 12 lo_1_year existing paid radio/tv 6468 up_2000 no known savno checking 36 up_2_years critical/other radio/tv 9566 up_2000 <100>=200 18 1_2_years existing paid new car 1961 1000_2000 <100<0 36 up_2_years critical/other furniture/equ 6229 up_2000 <1000<=X<200 9 lo_1_year existing paid business 1391 1000_2000 <100

0<=X<200 15 1_2_years critical/other radio/tv 1537 1000_2000 no known sav0<=X<200 36 up_2_years no credits/all business 1953 1000_2000 <1000<=X<200 48 up_2_years no credits/all business 14421 up_2000 <100no checking 24 1_2_years existing paid radio/tv 3181 up_2000 <100no checking 27 up_2_years existing paid repairs 5190 up_2000 no known savno checking 12 lo_1_year existing paid radio/tv 2171 up_2000 <1000<=X<200 12 lo_1_year existing paid new car 1007 1000_2000 >=1000no checking 36 up_2_years existing paid education 1819 1000_2000 <100no checking 36 up_2_years existing paid radio/tv 2394 up_2000 no known savno checking 36 up_2_years existing paid used car 8133 up_2000 <100no checking 7 lo_1_year critical/other radio/tv 730 lo_1000 no known sav<0 8 lo_1_year critical/other other 1164 1000_2000 <1000<=X<200 42 up_2_years critical/other business 5954 up_2000 <100<0 36 up_2_years existing paid education 1977 1000_2000 no known sav<0 12 lo_1_year critical/other used car 1526 1000_2000 <100<0 42 up_2_years existing paid radio/tv 3965 up_2000 <1000<=X<200 11 lo_1_year delayed previ radio/tv 4771 up_2000 <100no checking 54 up_2_years no credits/all used car 9436 up_2000 no known sav0<=X<200 30 up_2_years existing paid furniture/equ 3832 up_2000 <100no checking 24 1_2_years existing paid radio/tv 5943 up_2000 no known savno checking 15 1_2_years existing paid radio/tv 1213 1000_2000 500<=X<100no checking 18 1_2_years existing paid business 1568 1000_2000 100<=X<500<0 24 1_2_years existing paid other 1755 1000_2000 <100<0 10 lo_1_year existing paid radio/tv 2315 up_2000 <100no checking 12 lo_1_year critical/other business 1412 1000_2000 <1000<=X<200 18 1_2_years critical/other furniture/equ 1295 1000_2000 <1000<=X<200 36 up_2_years existing paid education 12612 up_2000 100<=X<500<0 18 1_2_years existing paid new car 2249 up_2000 100<=X<500<0 12 lo_1_year no credits/all repairs 1108 1000_2000 <100no checking 12 lo_1_year critical/other radio/tv 618 lo_1000 <100<0 12 lo_1_year critical/other used car 1409 1000_2000 <100no checking 12 lo_1_year critical/other radio/tv 797 lo_1000 no known sav>=200 24 1_2_years critical/other furniture/equ 3617 up_2000 no known sav0<=X<200 12 lo_1_year existing paid new car 1318 1000_2000 >=10000<=X<200 54 up_2_years no credits/all business 15945 up_2000 <100no checking 12 lo_1_year critical/other education 2012 up_2000 no known sav0<=X<200 18 1_2_years existing paid business 2622 up_2000 100<=X<5000<=X<200 36 up_2_years critical/other radio/tv 2337 up_2000 <1000<=X<200 20 1_2_years delayed previ used car 7057 up_2000 no known savno checking 24 1_2_years existing paid new car 1469 1000_2000 100<=X<5000<=X<200 36 up_2_years existing paid radio/tv 2323 up_2000 <100no checking 6 lo_1_year delayed previ radio/tv 932 lo_1000 <1000<=X<200 9 lo_1_year critical/other furniture/equ 1919 1000_2000 <100no checking 12 lo_1_year existing paid used car 2445 up_2000 no known sav0<=X<200 24 1_2_years critical/other other 11938 up_2000 <100no checking 18 1_2_years all paid new car 6458 up_2000 <1000<=X<200 12 lo_1_year existing paid new car 6078 up_2000 <100<0 24 1_2_years existing paid furniture/equ 7721 up_2000 no known sav0<=X<200 14 1_2_years existing paid business 1410 1000_2000 500<=X<1000<=X<200 6 lo_1_year delayed previ business 1449 1000_2000 100<=X<500>=200 15 1_2_years existing paid education 392 lo_1000 <1000<=X<200 18 1_2_years existing paid new car 6260 up_2000 <100no checking 36 up_2_years critical/other new car 7855 up_2000 <100<0 12 lo_1_year existing paid radio/tv 1680 1000_2000 500<=X<100no checking 48 up_2_years critical/other radio/tv 3578 up_2000 no known sav<0 42 up_2_years existing paid radio/tv 7174 up_2000 no known sav<0 10 lo_1_year critical/other furniture/equ 2132 up_2000 no known sav<0 33 up_2_years critical/other furniture/equ 4281 up_2000 500<=X<1000<=X<200 12 lo_1_year critical/other new car 2366 up_2000 500<=X<100<0 21 1_2_years existing paid radio/tv 1835 1000_2000 <100no checking 24 1_2_years critical/other used car 3868 up_2000 <100no checking 12 lo_1_year existing paid furniture/equ 1768 1000_2000 <100

>=200 10 lo_1_year critical/other new car 781 lo_1000 <1000<=X<200 18 1_2_years existing paid furniture/equ 1924 1000_2000 no known sav<0 12 lo_1_year critical/other new car 2121 up_2000 <100<0 12 lo_1_year existing paid radio/tv 701 lo_1000 <1000<=X<200 12 lo_1_year existing paid repairs 639 lo_1000 <1000<=X<200 12 lo_1_year critical/other used car 1860 1000_2000 <100<0 12 lo_1_year critical/other new car 3499 up_2000 <1000<=X<200 48 up_2_years existing paid new car 8487 up_2000 no known sav<0 36 up_2_years delayed previ education 6887 up_2000 <100no checking 15 1_2_years existing paid furniture/equ 2708 up_2000 <100no checking 18 1_2_years existing paid furniture/equ 1984 1000_2000 <100no checking 60 up_2_years existing paid radio/tv 10144 up_2000 100<=X<500no checking 12 lo_1_year critical/other radio/tv 1240 1000_2000 no known savno checking 27 up_2_years delayed previ used car 8613 up_2000 >=10000<=X<200 12 lo_1_year existing paid radio/tv 766 lo_1000 500<=X<1000<=X<200 15 1_2_years critical/other radio/tv 2728 up_2000 no known sav>=200 12 lo_1_year existing paid radio/tv 1881 1000_2000 <100>=200 6 lo_1_year existing paid new car 709 lo_1000 >=10000<=X<200 36 up_2_years existing paid radio/tv 4795 up_2000 <100<0 27 up_2_years existing paid radio/tv 3416 up_2000 <100<0 18 1_2_years existing paid furniture/equ 2462 up_2000 <100no checking 21 1_2_years critical/other furniture/equ 2288 up_2000 <1000<=X<200 48 up_2_years all paid business 3566 up_2000 100<=X<500<0 6 lo_1_year critical/other new car 860 lo_1000 <100no checking 12 lo_1_year critical/other new car 682 lo_1000 100<=X<500<0 36 up_2_years critical/other furniture/equ 5371 up_2000 <100no checking 18 1_2_years critical/other radio/tv 1582 1000_2000 >=1000no checking 6 lo_1_year existing paid radio/tv 1346 1000_2000 100<=X<500no checking 10 lo_1_year existing paid radio/tv 1924 1000_2000 <100>=200 36 up_2_years existing paid radio/tv 5848 up_2000 <1000<=X<200 24 1_2_years critical/other used car 7758 up_2000 >=10000<=X<200 24 1_2_years delayed previ business 6967 up_2000 100<=X<500<0 12 lo_1_year existing paid furniture/equ 1282 1000_2000 <100<0 9 lo_1_year critical/other repairs 1288 1000_2000 100<=X<500<0 12 lo_1_year all paid retraining 339 lo_1000 <1000<=X<200 24 1_2_years existing paid new car 3512 up_2000 100<=X<500no checking 6 lo_1_year critical/other radio/tv 1898 1000_2000 no known savno checking 24 1_2_years critical/other radio/tv 2872 up_2000 100<=X<500no checking 18 1_2_years critical/other new car 1055 1000_2000 <100no checking 15 1_2_years existing paid domestic appl 1262 1000_2000 500<=X<1000<=X<200 10 lo_1_year existing paid new car 7308 up_2000 <100no checking 36 up_2_years existing paid new car 909 lo_1000 500<=X<100no checking 6 lo_1_year existing paid furniture/equ 2978 up_2000 500<=X<100<0 18 1_2_years existing paid furniture/equ 1131 1000_2000 <1000<=X<200 11 lo_1_year existing paid furniture/equ 1577 1000_2000 >=1000no checking 24 1_2_years existing paid furniture/equ 3972 up_2000 <1000<=X<200 24 1_2_years critical/other business 1935 1000_2000 <100<0 15 1_2_years no credits/all new car 950 lo_1000 <100no checking 12 lo_1_year existing paid furniture/equ 763 lo_1000 <1000<=X<200 24 1_2_years delayed previ furniture/equ 2064 up_2000 <1000<=X<200 8 lo_1_year existing paid radio/tv 1414 1000_2000 <100<0 21 1_2_years delayed previ education 3414 up_2000 <100no checking 30 up_2_years all paid used car 7485 up_2000 no known sav<0 12 lo_1_year existing paid furniture/equ 2577 up_2000 <100<0 6 lo_1_year critical/other radio/tv 338 lo_1000 500<=X<100no checking 12 lo_1_year existing paid radio/tv 1963 1000_2000 <100<0 21 1_2_years critical/other new car 571 lo_1000 <100no checking 36 up_2_years delayed previ business 9572 up_2000 <1000<=X<200 36 up_2_years delayed previ business 4455 up_2000 <100<0 21 1_2_years all paid new car 1647 1000_2000 no known savno checking 24 1_2_years critical/other furniture/equ 3777 up_2000 >=10000<=X<200 18 1_2_years critical/other new car 884 lo_1000 <100

no checking 15 1_2_years critical/other radio/tv 1360 1000_2000 <1000<=X<200 9 lo_1_year all paid used car 5129 up_2000 <1000<=X<200 16 1_2_years critical/other new car 1175 1000_2000 <100<0 12 lo_1_year existing paid radio/tv 674 lo_1000 100<=X<5000<=X<200 18 1_2_years no credits/all furniture/equ 3244 up_2000 <100no checking 24 1_2_years existing paid business 4591 up_2000 >=10000<=X<200 48 up_2_years no credits/all business 3844 up_2000 100<=X<5000<=X<200 27 up_2_years existing paid business 3915 up_2000 <100no checking 6 lo_1_year existing paid radio/tv 2108 up_2000 <1000<=X<200 45 up_2_years existing paid radio/tv 3031 up_2000 100<=X<5000<=X<200 9 lo_1_year critical/other education 1501 1000_2000 <100no checking 6 lo_1_year critical/other radio/tv 1382 1000_2000 <1000<=X<200 12 lo_1_year existing paid furniture/equ 951 lo_1000 100<=X<5000<=X<200 24 1_2_years existing paid used car 2760 up_2000 no known sav0<=X<200 18 1_2_years delayed previ furniture/equ 4297 up_2000 <100no checking 9 lo_1_year critical/other education 936 lo_1000 500<=X<100<0 12 lo_1_year existing paid new car 1168 1000_2000 <100no checking 27 up_2_years delayed previ business 5117 up_2000 <100<0 12 lo_1_year existing paid retraining 902 lo_1000 <100no checking 12 lo_1_year critical/other new car 1495 1000_2000 <100<0 30 up_2_years critical/other used car 10623 up_2000 <100no checking 12 lo_1_year critical/other furniture/equ 1935 1000_2000 <1000<=X<200 12 lo_1_year critical/other domestic appl 1424 1000_2000 <100<0 24 1_2_years existing paid business 6568 up_2000 <100no checking 12 lo_1_year existing paid used car 1413 1000_2000 >=1000no checking 9 lo_1_year critical/other radio/tv 3074 up_2000 no known savno checking 36 up_2_years existing paid radio/tv 3835 up_2000 no known sav<0 27 up_2_years no credits/all business 5293 up_2000 <100>=200 30 up_2_years delayed previ business 1908 1000_2000 <100no checking 36 up_2_years critical/other radio/tv 3342 up_2000 no known sav0<=X<200 6 lo_1_year critical/other retraining 932 lo_1000 no known sav<0 18 1_2_years no credits/all business 3104 up_2000 <100>=200 36 up_2_years existing paid radio/tv 3913 up_2000 <100<0 24 1_2_years existing paid furniture/equ 3021 up_2000 <100no checking 10 lo_1_year existing paid new car 1364 1000_2000 <1000<=X<200 12 lo_1_year existing paid radio/tv 625 lo_1000 <100<0 12 lo_1_year existing paid education 1200 1000_2000 no known savno checking 12 lo_1_year existing paid radio/tv 707 lo_1000 <100no checking 24 1_2_years delayed previ business 2978 up_2000 no known savno checking 15 1_2_years existing paid used car 4657 up_2000 <100no checking 36 up_2_years no credits/all repairs 2613 up_2000 <1000<=X<200 48 up_2_years existing paid radio/tv 10961 up_2000 >=1000<0 12 lo_1_year existing paid furniture/equ 7865 up_2000 <100no checking 9 lo_1_year existing paid radio/tv 1478 1000_2000 <100<0 24 1_2_years existing paid furniture/equ 3149 up_2000 <100>=200 36 up_2_years existing paid radio/tv 4210 up_2000 <100no checking 9 lo_1_year existing paid new car 2507 up_2000 500<=X<100no checking 12 lo_1_year existing paid radio/tv 2141 up_2000 100<=X<5000<=X<200 18 1_2_years existing paid radio/tv 866 lo_1000 <100no checking 4 lo_1_year critical/other radio/tv 1544 1000_2000 <100<0 24 1_2_years existing paid radio/tv 1823 1000_2000 <1000<=X<200 6 lo_1_year existing paid new car 14555 up_2000 no known sav0<=X<200 21 1_2_years existing paid business 2767 up_2000 100<=X<500no checking 12 lo_1_year critical/other radio/tv 1291 1000_2000 <100<0 30 up_2_years existing paid radio/tv 2522 up_2000 <100<0 24 1_2_years existing paid new car 915 lo_1000 no known savno checking 6 lo_1_year existing paid radio/tv 1595 1000_2000 <100<0 48 up_2_years no credits/all used car 4605 up_2000 <100no checking 12 lo_1_year critical/other business 1185 1000_2000 <100no checking 12 lo_1_year all paid retraining 3447 up_2000 500<=X<100no checking 24 1_2_years existing paid business 1258 1000_2000 <100no checking 12 lo_1_year critical/other radio/tv 717 lo_1000 <100

no checking 6 lo_1_year no credits/all new car 1204 1000_2000 100<=X<500>=200 24 1_2_years existing paid furniture/equ 1925 1000_2000 <100no checking 18 1_2_years existing paid radio/tv 433 lo_1000 <100<0 6 lo_1_year critical/other new car 666 lo_1000 >=1000>=200 12 lo_1_year existing paid furniture/equ 2251 up_2000 <1000<=X<200 30 up_2_years existing paid new car 2150 up_2000 <100no checking 24 1_2_years delayed previ furniture/equ 4151 up_2000 100<=X<5000<=X<200 9 lo_1_year existing paid furniture/equ 2030 up_2000 no known sav0<=X<200 60 up_2_years delayed previ radio/tv 7418 up_2000 no known savno checking 24 1_2_years critical/other radio/tv 2684 up_2000 <100<0 12 lo_1_year all paid radio/tv 2149 up_2000 <100no checking 15 1_2_years existing paid used car 3812 up_2000 100<=X<500no checking 11 lo_1_year critical/other radio/tv 1154 1000_2000 100<=X<500<0 12 lo_1_year existing paid furniture/equ 1657 1000_2000 <100<0 24 1_2_years existing paid radio/tv 1603 1000_2000 <100<0 18 1_2_years critical/other new car 5302 up_2000 <100no checking 12 lo_1_year critical/other education 2748 up_2000 <100no checking 10 lo_1_year critical/other new car 1231 1000_2000 <1000<=X<200 15 1_2_years existing paid radio/tv 802 lo_1000 <100no checking 36 up_2_years critical/other business 6304 up_2000 no known savno checking 24 1_2_years existing paid radio/tv 1533 1000_2000 <100<0 14 1_2_years existing paid new car 8978 up_2000 <100no checking 24 1_2_years existing paid radio/tv 999 lo_1000 no known savno checking 18 1_2_years existing paid new car 2662 up_2000 no known savno checking 12 lo_1_year critical/other furniture/equ 1402 1000_2000 500<=X<1000<=X<200 48 up_2_years all paid new car 12169 up_2000 no known sav0<=X<200 48 up_2_years existing paid radio/tv 3060 up_2000 <100<0 30 up_2_years existing paid repairs 11998 up_2000 <100no checking 9 lo_1_year existing paid radio/tv 2697 up_2000 <100no checking 18 1_2_years critical/other radio/tv 2404 up_2000 <100<0 12 lo_1_year existing paid furniture/equ 1262 1000_2000 no known savno checking 6 lo_1_year existing paid furniture/equ 4611 up_2000 <100no checking 24 1_2_years existing paid radio/tv 1901 1000_2000 100<=X<500no checking 15 1_2_years critical/other used car 3368 up_2000 >=1000no checking 12 lo_1_year existing paid furniture/equ 1574 1000_2000 <100>=200 18 1_2_years all paid radio/tv 1445 1000_2000 no known savno checking 15 1_2_years critical/other furniture/equ 1520 1000_2000 no known sav0<=X<200 24 1_2_years critical/other new car 3878 up_2000 100<=X<500<0 47 up_2_years existing paid new car 10722 up_2000 <100<0 48 up_2_years existing paid used car 4788 up_2000 <1000<=X<200 48 up_2_years delayed previ other 7582 up_2000 100<=X<5000<=X<200 12 lo_1_year existing paid radio/tv 1092 1000_2000 <100<0 24 1_2_years delayed previ radio/tv 1024 1000_2000 <100no checking 12 lo_1_year existing paid business 1076 1000_2000 <1000<=X<200 36 up_2_years existing paid used car 9398 up_2000 <100<0 24 1_2_years critical/other used car 6419 up_2000 <100>=200 42 up_2_years critical/other used car 4796 up_2000 <100no checking 48 up_2_years critical/other business 7629 up_2000 no known sav0<=X<200 48 up_2_years existing paid furniture/equ 9960 up_2000 <100no checking 12 lo_1_year existing paid used car 4675 up_2000 no known savno checking 10 lo_1_year existing paid new car 1287 1000_2000 no known savno checking 18 1_2_years existing paid furniture/equ 2515 up_2000 <1000<=X<200 21 1_2_years critical/other furniture/equ 2745 up_2000 >=1000no checking 6 lo_1_year existing paid new car 672 lo_1000 <1000<=X<200 36 up_2_years no credits/all radio/tv 3804 up_2000 <100>=200 24 1_2_years critical/other new car 1344 1000_2000 no known sav<0 10 lo_1_year critical/other new car 1038 1000_2000 <100no checking 48 up_2_years critical/other new car 10127 up_2000 500<=X<100no checking 6 lo_1_year existing paid furniture/equ 1543 1000_2000 >=1000no checking 30 up_2_years existing paid used car 4811 up_2000 no known sav<0 12 lo_1_year existing paid radio/tv 727 lo_1000 100<=X<5000<=X<200 8 lo_1_year existing paid furniture/equ 1237 1000_2000 <100

0<=X<200 9 lo_1_year existing paid new car 276 lo_1000 <1000<=X<200 48 up_2_years existing paid other 5381 up_2000 no known savno checking 24 1_2_years existing paid furniture/equ 5511 up_2000 100<=X<500>=200 24 1_2_years existing paid furniture/equ 3749 up_2000 <1000<=X<200 12 lo_1_year existing paid new car 685 lo_1000 <100>=200 4 lo_1_year existing paid new car 1494 1000_2000 no known sav<0 36 up_2_years all paid furniture/equ 2746 up_2000 <100<0 12 lo_1_year existing paid furniture/equ 708 lo_1000 <1000<=X<200 24 1_2_years existing paid furniture/equ 4351 up_2000 no known savno checking 12 lo_1_year critical/other education 701 lo_1000 <100<0 15 1_2_years delayed previ furniture/equ 3643 up_2000 <1000<=X<200 30 up_2_years critical/other new car 4249 up_2000 <100<0 24 1_2_years existing paid radio/tv 1938 1000_2000 <100<0 24 1_2_years existing paid used car 2910 up_2000 <100<0 18 1_2_years existing paid furniture/equ 2659 up_2000 >=1000no checking 18 1_2_years critical/other new car 1028 1000_2000 <100<0 8 lo_1_year critical/other new car 3398 up_2000 <100no checking 12 lo_1_year critical/other furniture/equ 5801 up_2000 no known savno checking 24 1_2_years existing paid new car 1525 1000_2000 >=1000>=200 36 up_2_years existing paid radio/tv 4473 up_2000 <1000<=X<200 6 lo_1_year existing paid radio/tv 1068 1000_2000 <100<0 24 1_2_years critical/other used car 6615 up_2000 <100no checking 18 1_2_years critical/other education 1864 1000_2000 100<=X<5000<=X<200 60 up_2_years existing paid new car 7408 up_2000 100<=X<500no checking 48 up_2_years critical/other used car 11590 up_2000 100<=X<500<0 24 1_2_years no credits/all furniture/equ 4110 up_2000 <100<0 6 lo_1_year critical/other furniture/equ 3384 up_2000 <1000<=X<200 13 1_2_years existing paid radio/tv 2101 up_2000 <100<0 15 1_2_years existing paid domestic appl 1275 1000_2000 no known sav<0 24 1_2_years existing paid furniture/equ 4169 up_2000 <1000<=X<200 10 lo_1_year existing paid furniture/equ 1521 1000_2000 <1000<=X<200 24 1_2_years critical/other education 5743 up_2000 <100<0 21 1_2_years existing paid furniture/equ 3599 up_2000 <1000<=X<200 18 1_2_years existing paid radio/tv 3213 up_2000 500<=X<1000<=X<200 18 1_2_years existing paid business 4439 up_2000 <100>=200 10 lo_1_year existing paid new car 3949 up_2000 <100no checking 15 1_2_years critical/other radio/tv 1459 1000_2000 <1000<=X<200 13 1_2_years critical/other radio/tv 882 lo_1000 <1000<=X<200 24 1_2_years existing paid radio/tv 3758 up_2000 500<=X<100no checking 6 lo_1_year delayed previ business 1743 1000_2000 100<=X<5000<=X<200 9 lo_1_year critical/other education 1136 1000_2000 >=1000no checking 9 lo_1_year existing paid domestic appl 1236 1000_2000 <1000<=X<200 9 lo_1_year existing paid furniture/equ 959 lo_1000 <100no checking 18 1_2_years critical/other used car 3229 up_2000 no known sav<0 12 lo_1_year no credits/all radio/tv 6199 up_2000 <100no checking 10 lo_1_year existing paid education 727 lo_1000 500<=X<1000<=X<200 24 1_2_years existing paid new car 1246 1000_2000 <100no checking 12 lo_1_year critical/other radio/tv 2331 up_2000 no known savno checking 36 up_2_years delayed previ radio/tv 4463 up_2000 <100no checking 12 lo_1_year existing paid radio/tv 776 lo_1000 <100<0 30 up_2_years existing paid furniture/equ 2406 up_2000 <1000<=X<200 18 1_2_years existing paid education 1239 1000_2000 no known sav>=200 12 lo_1_year existing paid radio/tv 3399 up_2000 no known sav>=200 12 lo_1_year delayed previ new car 2247 up_2000 <100no checking 6 lo_1_year existing paid furniture/equ 1766 1000_2000 <100<0 18 1_2_years existing paid furniture/equ 2473 up_2000 <100no checking 12 lo_1_year existing paid business 1542 1000_2000 <100no checking 18 1_2_years critical/other used car 3850 up_2000 <100<0 18 1_2_years existing paid furniture/equ 3650 up_2000 <100<0 36 up_2_years existing paid furniture/equ 3446 up_2000 <1000<=X<200 18 1_2_years existing paid furniture/equ 3001 up_2000 <100no checking 36 up_2_years existing paid new car 3079 up_2000 no known sav

no checking 18 1_2_years critical/other radio/tv 6070 up_2000 <100no checking 10 lo_1_year critical/other furniture/equ 2146 up_2000 <100no checking 60 up_2_years critical/other new car 13756 up_2000 no known sav0<=X<200 60 up_2_years all paid other 14782 up_2000 100<=X<500<0 48 up_2_years all paid business 7685 up_2000 <100no checking 18 1_2_years delayed previ radio/tv 2320 up_2000 <100no checking 7 lo_1_year delayed previ radio/tv 846 lo_1000 no known sav0<=X<200 36 up_2_years existing paid new car 14318 up_2000 <100no checking 6 lo_1_year critical/other new car 362 lo_1000 100<=X<500<0 20 1_2_years existing paid furniture/equ 2212 up_2000 no known sav0<=X<200 18 1_2_years existing paid used car 12976 up_2000 <100no checking 22 1_2_years existing paid new car 1283 1000_2000 no known sav>=200 12 lo_1_year existing paid new car 1330 1000_2000 <100no checking 30 up_2_years delayed previ business 4272 up_2000 100<=X<500no checking 18 1_2_years critical/other radio/tv 2238 up_2000 <100no checking 18 1_2_years existing paid radio/tv 1126 1000_2000 no known sav0<=X<200 18 1_2_years critical/other furniture/equ 7374 up_2000 <1000<=X<200 15 1_2_years critical/other business 2326 up_2000 500<=X<100no checking 9 lo_1_year existing paid business 1449 1000_2000 <100no checking 18 1_2_years existing paid new car 1820 1000_2000 <1000<=X<200 12 lo_1_year existing paid furniture/equ 983 lo_1000 >=1000<0 36 up_2_years existing paid new car 3249 up_2000 <100<0 6 lo_1_year critical/other radio/tv 1957 1000_2000 <100no checking 9 lo_1_year critical/other furniture/equ 2406 up_2000 <1000<=X<200 39 up_2_years delayed previ education 11760 up_2000 100<=X<500<0 12 lo_1_year existing paid furniture/equ 2578 up_2000 <100<0 36 up_2_years critical/other furniture/equ 2348 up_2000 <1000<=X<200 12 lo_1_year existing paid new car 1223 1000_2000 <100no checking 24 1_2_years critical/other radio/tv 1516 1000_2000 >=1000no checking 18 1_2_years existing paid radio/tv 1473 1000_2000 <1000<=X<200 18 1_2_years critical/other business 1887 1000_2000 no known savno checking 24 1_2_years delayed previ business 8648 up_2000 <100no checking 14 1_2_years delayed previ new car 802 lo_1000 <1000<=X<200 18 1_2_years delayed previ new car 2899 up_2000 no known sav0<=X<200 24 1_2_years existing paid radio/tv 2039 up_2000 <100no checking 24 1_2_years critical/other used car 2197 up_2000 no known sav<0 15 1_2_years existing paid radio/tv 1053 1000_2000 <100no checking 24 1_2_years existing paid radio/tv 3235 up_2000 500<=X<100>=200 12 lo_1_year critical/other new car 939 lo_1000 500<=X<1000<=X<200 24 1_2_years existing paid radio/tv 1967 1000_2000 <100no checking 33 up_2_years critical/other used car 7253 up_2000 <100no checking 12 lo_1_year critical/other business 2292 up_2000 <100no checking 10 lo_1_year existing paid new car 1597 1000_2000 500<=X<100<0 24 1_2_years existing paid new car 1381 1000_2000 no known savno checking 36 up_2_years critical/other used car 5842 up_2000 <100<0 12 lo_1_year existing paid new car 2579 up_2000 <100<0 18 1_2_years delayed previ education 8471 up_2000 no known savno checking 21 1_2_years existing paid new car 2782 up_2000 500<=X<1000<=X<200 18 1_2_years existing paid new car 1042 1000_2000 no known savno checking 15 1_2_years existing paid new car 3186 up_2000 >=10000<=X<200 12 lo_1_year existing paid used car 2028 up_2000 no known sav0<=X<200 12 lo_1_year critical/other new car 958 lo_1000 <100no checking 21 1_2_years delayed previ furniture/equ 1591 1000_2000 100<=X<5000<=X<200 12 lo_1_year existing paid furniture/equ 2762 up_2000 no known sav0<=X<200 18 1_2_years existing paid used car 2779 up_2000 <100no checking 28 up_2_years critical/other radio/tv 2743 up_2000 <100no checking 18 1_2_years critical/other radio/tv 1149 1000_2000 >=1000no checking 9 lo_1_year existing paid furniture/equ 1313 1000_2000 <100<0 18 1_2_years critical/other repairs 1190 1000_2000 <100no checking 5 lo_1_year existing paid business 3448 up_2000 <1000<=X<200 24 1_2_years existing paid other 11328 up_2000 <100<0 6 lo_1_year critical/other furniture/equ 1872 1000_2000 <100

no checking 24 1_2_years critical/other repairs 2058 up_2000 <100<0 9 lo_1_year existing paid furniture/equ 2136 up_2000 <1000<=X<200 12 lo_1_year existing paid radio/tv 1484 1000_2000 no known savno checking 6 lo_1_year existing paid repairs 660 lo_1000 500<=X<100no checking 24 1_2_years critical/other new car 1287 1000_2000 >=1000<0 42 up_2_years critical/other repairs 3394 up_2000 <100>=200 12 lo_1_year all paid business 609 lo_1000 <100no checking 12 lo_1_year existing paid new car 1884 1000_2000 <100<0 12 lo_1_year existing paid furniture/equ 1620 1000_2000 <1000<=X<200 20 1_2_years delayed previ other 2629 up_2000 <100no checking 12 lo_1_year existing paid education 719 lo_1000 <1000<=X<200 48 up_2_years critical/other furniture/equ 5096 up_2000 <100no checking 9 lo_1_year critical/other education 1244 1000_2000 no known sav<0 36 up_2_years existing paid new car 1842 1000_2000 <1000<=X<200 7 lo_1_year existing paid radio/tv 2576 up_2000 <100>=200 12 lo_1_year existing paid furniture/equ 1424 1000_2000 no known sav0<=X<200 15 1_2_years delayed previ repairs 1512 1000_2000 >=1000no checking 36 up_2_years critical/other used car 11054 up_2000 no known savno checking 6 lo_1_year existing paid radio/tv 518 lo_1000 <100no checking 12 lo_1_year no credits/all furniture/equ 2759 up_2000 <100no checking 24 1_2_years existing paid used car 2670 up_2000 <100<0 24 1_2_years existing paid new car 4817 up_2000 <100no checking 24 1_2_years existing paid used car 2679 up_2000 <100<0 11 lo_1_year critical/other new car 3905 up_2000 <100<0 12 lo_1_year existing paid used car 3386 up_2000 <100<0 6 lo_1_year existing paid domestic appl 343 lo_1000 <100no checking 18 1_2_years existing paid radio/tv 4594 up_2000 <100<0 36 up_2_years existing paid furniture/equ 3620 up_2000 <100<0 15 1_2_years existing paid new car 1721 1000_2000 <1000<=X<200 12 lo_1_year existing paid furniture/equ 3017 up_2000 <1000<=X<200 12 lo_1_year existing paid retraining 754 lo_1000 no known savno checking 18 1_2_years existing paid business 1950 1000_2000 <100<0 24 1_2_years existing paid used car 2924 up_2000 <100<0 24 1_2_years delayed previ radio/tv 1659 1000_2000 <100no checking 48 up_2_years delayed previ radio/tv 7238 up_2000 no known savno checking 33 up_2_years delayed previ business 2764 up_2000 <100no checking 24 1_2_years delayed previ used car 4679 up_2000 <1000<=X<200 24 1_2_years existing paid radio/tv 3092 up_2000 100<=X<500<0 6 lo_1_year existing paid education 448 lo_1000 <100<0 9 lo_1_year existing paid new car 654 lo_1000 <100no checking 6 lo_1_year existing paid retraining 1238 1000_2000 no known sav0<=X<200 18 1_2_years critical/other radio/tv 1245 1000_2000 <100<0 18 1_2_years no credits/all furniture/equ 3114 up_2000 <100no checking 39 up_2_years existing paid used car 2569 up_2000 500<=X<100>=200 24 1_2_years existing paid radio/tv 5152 up_2000 <1000<=X<200 12 lo_1_year existing paid business 1037 1000_2000 100<=X<500<0 15 1_2_years critical/other furniture/equ 1478 1000_2000 <1000<=X<200 12 lo_1_year critical/other radio/tv 3573 up_2000 <1000<=X<200 24 1_2_years existing paid new car 1201 1000_2000 <100<0 30 up_2_years existing paid furniture/equ 3622 up_2000 >=1000no checking 15 1_2_years delayed previ furniture/equ 960 lo_1000 >=1000no checking 12 lo_1_year critical/other new car 1163 1000_2000 500<=X<1000<=X<200 6 lo_1_year delayed previ new car 1209 1000_2000 <100no checking 12 lo_1_year existing paid radio/tv 3077 up_2000 <100no checking 24 1_2_years existing paid new car 3757 up_2000 <100no checking 10 lo_1_year existing paid new car 1418 1000_2000 100<=X<500no checking 6 lo_1_year existing paid new car 3518 up_2000 <100no checking 12 lo_1_year critical/other radio/tv 1934 1000_2000 <1000<=X<200 27 up_2_years no credits/all business 8318 up_2000 <100no checking 6 lo_1_year critical/other radio/tv 1237 1000_2000 100<=X<5000<=X<200 6 lo_1_year existing paid radio/tv 368 lo_1000 no known sav<0 12 lo_1_year critical/other new car 2122 up_2000 <100

<0 24 1_2_years existing paid furniture/equ 2996 up_2000 no known sav0<=X<200 36 up_2_years existing paid furniture/equ 9034 up_2000 100<=X<500no checking 24 1_2_years critical/other furniture/equ 1585 1000_2000 <1000<=X<200 18 1_2_years existing paid radio/tv 1301 1000_2000 <100>=200 6 lo_1_year critical/other new car 1323 1000_2000 100<=X<500<0 24 1_2_years existing paid new car 3123 up_2000 <100<0 36 up_2_years existing paid used car 5493 up_2000 <100>=200 9 lo_1_year existing paid radio/tv 1126 1000_2000 100<=X<5000<=X<200 24 1_2_years critical/other radio/tv 1216 1000_2000 100<=X<500<0 24 1_2_years existing paid new car 1207 1000_2000 <100no checking 10 lo_1_year existing paid new car 1309 1000_2000 no known sav>=200 15 1_2_years critical/other used car 2360 up_2000 500<=X<1000<=X<200 15 1_2_years all paid new car 6850 up_2000 100<=X<500no checking 24 1_2_years existing paid radio/tv 1413 1000_2000 <100no checking 39 up_2_years existing paid used car 8588 up_2000 100<=X<500<0 12 lo_1_year existing paid new car 759 lo_1000 <100no checking 36 up_2_years existing paid used car 4686 up_2000 <100>=200 15 1_2_years existing paid business 2687 up_2000 <1000<=X<200 12 lo_1_year delayed previ radio/tv 585 lo_1000 <100no checking 24 1_2_years existing paid new car 2255 up_2000 no known sav<0 6 lo_1_year critical/other new car 609 lo_1000 <100<0 6 lo_1_year critical/other new car 1361 1000_2000 <100no checking 36 up_2_years critical/other furniture/equ 7127 up_2000 <100<0 6 lo_1_year existing paid new car 1203 1000_2000 100<=X<500no checking 6 lo_1_year critical/other radio/tv 700 lo_1000 no known savno checking 24 1_2_years critical/other repairs 5507 up_2000 <100<0 18 1_2_years existing paid radio/tv 3190 up_2000 <100<0 48 up_2_years no credits/all furniture/equ 7119 up_2000 <100no checking 24 1_2_years existing paid used car 3488 up_2000 100<=X<5000<=X<200 18 1_2_years existing paid radio/tv 1113 1000_2000 <1000<=X<200 26 up_2_years existing paid used car 7966 up_2000 <100no checking 15 1_2_years critical/other education 1532 1000_2000 100<=X<500no checking 4 lo_1_year critical/other radio/tv 1503 1000_2000 <100<0 36 up_2_years existing paid radio/tv 2302 up_2000 <100<0 6 lo_1_year existing paid new car 662 lo_1000 <1000<=X<200 36 up_2_years existing paid education 2273 up_2000 <1000<=X<200 15 1_2_years existing paid new car 2631 up_2000 100<=X<500no checking 12 lo_1_year delayed previ used car 1503 1000_2000 <100no checking 24 1_2_years existing paid radio/tv 1311 1000_2000 100<=X<500no checking 24 1_2_years existing paid radio/tv 3105 up_2000 no known sav>=200 21 1_2_years critical/other education 2319 up_2000 <100<0 6 lo_1_year existing paid new car 1374 1000_2000 no known sav0<=X<200 18 1_2_years critical/other furniture/equ 3612 up_2000 <100<0 48 up_2_years existing paid new car 7763 up_2000 <100>=200 18 1_2_years existing paid furniture/equ 3049 up_2000 <1000<=X<200 12 lo_1_year existing paid radio/tv 1534 1000_2000 <100no checking 24 1_2_years delayed previ new car 2032 up_2000 <100<0 30 up_2_years existing paid furniture/equ 6350 up_2000 no known sav>=200 18 1_2_years existing paid furniture/equ 2864 up_2000 <100no checking 12 lo_1_year critical/other new car 1255 1000_2000 <100<0 24 1_2_years delayed previ new car 1333 1000_2000 <100no checking 24 1_2_years critical/other new car 2022 up_2000 <100no checking 24 1_2_years existing paid radio/tv 1552 1000_2000 <100<0 12 lo_1_year all paid radio/tv 626 lo_1000 <100no checking 48 up_2_years critical/other used car 8858 up_2000 no known savno checking 12 lo_1_year critical/other repairs 996 lo_1000 no known savno checking 6 lo_1_year all paid radio/tv 1750 1000_2000 500<=X<100<0 48 up_2_years existing paid radio/tv 6999 up_2000 <1000<=X<200 12 lo_1_year critical/other new car 1995 1000_2000 100<=X<5000<=X<200 9 lo_1_year existing paid education 1199 1000_2000 <1000<=X<200 12 lo_1_year existing paid radio/tv 1331 1000_2000 <1000<=X<200 18 1_2_years no credits/all new car 2278 up_2000 100<=X<500

no checking 21 1_2_years no credits/all new car 5003 up_2000 no known sav<0 24 1_2_years all paid furniture/equ 3552 up_2000 <1000<=X<200 18 1_2_years critical/other furniture/equ 1928 1000_2000 <100<0 24 1_2_years existing paid used car 2964 up_2000 no known sav<0 24 1_2_years all paid radio/tv 1546 1000_2000 <100>=200 6 lo_1_year delayed previ radio/tv 683 lo_1000 <1000<=X<200 36 up_2_years existing paid new car 12389 up_2000 no known sav0<=X<200 24 1_2_years delayed previ business 4712 up_2000 no known sav0<=X<200 24 1_2_years delayed previ radio/tv 1553 1000_2000 100<=X<500<0 12 lo_1_year existing paid new car 1372 1000_2000 <100no checking 24 1_2_years critical/other radio/tv 2578 up_2000 >=10000<=X<200 48 up_2_years existing paid radio/tv 3979 up_2000 no known sav<0 48 up_2_years existing paid radio/tv 6758 up_2000 <100<0 24 1_2_years existing paid furniture/equ 3234 up_2000 <100no checking 30 up_2_years critical/other radio/tv 5954 up_2000 <100no checking 24 1_2_years existing paid used car 5433 up_2000 no known sav<0 15 1_2_years existing paid business 806 lo_1000 <1000<=X<200 9 lo_1_year existing paid radio/tv 1082 1000_2000 <100no checking 15 1_2_years critical/other furniture/equ 2788 up_2000 <1000<=X<200 12 lo_1_year existing paid radio/tv 2930 up_2000 <100no checking 24 1_2_years critical/other education 1927 1000_2000 no known sav0<=X<200 36 up_2_years critical/other new car 2820 up_2000 <100no checking 24 1_2_years existing paid retraining 937 lo_1000 <1000<=X<200 18 1_2_years critical/other new car 1056 1000_2000 <1000<=X<200 12 lo_1_year critical/other new car 3124 up_2000 <100no checking 9 lo_1_year existing paid furniture/equ 1388 1000_2000 <1000<=X<200 36 up_2_years existing paid repairs 2384 up_2000 <100no checking 12 lo_1_year existing paid new car 2133 up_2000 no known sav<0 18 1_2_years existing paid furniture/equ 2039 up_2000 <100<0 9 lo_1_year critical/other new car 2799 up_2000 <100<0 12 lo_1_year existing paid furniture/equ 1289 1000_2000 <100<0 18 1_2_years existing paid domestic appl 1217 1000_2000 <100<0 12 lo_1_year critical/other furniture/equ 2246 up_2000 <100<0 12 lo_1_year critical/other radio/tv 385 lo_1000 <1000<=X<200 24 1_2_years delayed previ new car 1965 1000_2000 no known savno checking 21 1_2_years existing paid business 1572 1000_2000 >=10000<=X<200 24 1_2_years existing paid new car 2718 up_2000 <100<0 24 1_2_years all paid other 1358 1000_2000 no known sav0<=X<200 6 lo_1_year all paid new car 931 lo_1000 100<=X<500<0 24 1_2_years existing paid new car 1442 1000_2000 <1000<=X<200 24 1_2_years no credits/all business 4241 up_2000 <100no checking 18 1_2_years critical/other new car 2775 up_2000 <100no checking 24 1_2_years delayed previ business 3863 up_2000 <1000<=X<200 7 lo_1_year existing paid radio/tv 2329 up_2000 <1000<=X<200 9 lo_1_year existing paid furniture/equ 918 lo_1000 <1000<=X<200 24 1_2_years all paid education 1837 1000_2000 <100no checking 36 up_2_years existing paid furniture/equ 3349 up_2000 <100>=200 10 lo_1_year existing paid furniture/equ 1275 1000_2000 <100<0 24 1_2_years all paid furniture/equ 2828 up_2000 500<=X<100no checking 24 1_2_years critical/other business 4526 up_2000 <1000<=X<200 36 up_2_years existing paid radio/tv 2671 up_2000 100<=X<500no checking 18 1_2_years existing paid radio/tv 2051 up_2000 <100no checking 15 1_2_years existing paid used car 1300 1000_2000 no known sav<0 12 lo_1_year existing paid domestic appl 741 lo_1000 100<=X<500>=200 10 lo_1_year existing paid new car 1240 1000_2000 100<=X<500<0 21 1_2_years existing paid radio/tv 3357 up_2000 >=1000<0 24 1_2_years all paid used car 3632 up_2000 <100no checking 18 1_2_years delayed previ furniture/equ 1808 1000_2000 <1000<=X<200 48 up_2_years no credits/all business 12204 up_2000 no known sav0<=X<200 60 up_2_years delayed previ radio/tv 9157 up_2000 no known sav<0 6 lo_1_year critical/other new car 3676 up_2000 <1000<=X<200 30 up_2_years existing paid furniture/equ 3441 up_2000 100<=X<500

no checking 12 lo_1_year existing paid new car 640 lo_1000 <1000<=X<200 21 1_2_years critical/other business 3652 up_2000 <100no checking 18 1_2_years critical/other new car 1530 1000_2000 <100no checking 48 up_2_years existing paid business 3914 up_2000 no known sav<0 12 lo_1_year existing paid furniture/equ 1858 1000_2000 <100<0 18 1_2_years existing paid radio/tv 2600 up_2000 <100no checking 15 1_2_years existing paid radio/tv 1979 1000_2000 no known sav>=200 6 lo_1_year existing paid furniture/equ 2116 up_2000 <1000<=X<200 9 lo_1_year all paid new car 1437 1000_2000 100<=X<500no checking 42 up_2_years critical/other furniture/equ 4042 up_2000 500<=X<100no checking 9 lo_1_year existing paid education 3832 up_2000 no known sav<0 24 1_2_years existing paid radio/tv 3660 up_2000 <100<0 18 1_2_years all paid furniture/equ 1553 1000_2000 <1000<=X<200 15 1_2_years existing paid radio/tv 1444 1000_2000 no known savno checking 9 lo_1_year existing paid furniture/equ 1980 1000_2000 <1000<=X<200 24 1_2_years existing paid new car 1355 1000_2000 <100no checking 12 lo_1_year existing paid education 1393 1000_2000 <100no checking 24 1_2_years existing paid radio/tv 1376 1000_2000 500<=X<100no checking 60 up_2_years delayed previ radio/tv 15653 up_2000 <100no checking 12 lo_1_year existing paid radio/tv 1493 1000_2000 <100<0 42 up_2_years delayed previ radio/tv 4370 up_2000 <100<0 18 1_2_years existing paid education 750 lo_1000 <1000<=X<200 15 1_2_years existing paid repairs 1308 1000_2000 <100no checking 15 1_2_years existing paid education 4623 up_2000 100<=X<500no checking 24 1_2_years critical/other radio/tv 1851 1000_2000 <100<0 18 1_2_years critical/other radio/tv 1880 1000_2000 <100no checking 36 up_2_years delayed previ business 7980 up_2000 no known sav<0 30 up_2_years no credits/all furniture/equ 4583 up_2000 <100no checking 12 lo_1_year existing paid new car 1386 1000_2000 500<=X<100>=200 24 1_2_years existing paid new car 947 lo_1000 <100<0 12 lo_1_year existing paid education 684 lo_1000 <100<0 48 up_2_years existing paid education 7476 up_2000 <1000<=X<200 12 lo_1_year existing paid furniture/equ 1922 1000_2000 <100<0 24 1_2_years existing paid new car 2303 up_2000 <1000<=X<200 36 up_2_years delayed previ new car 8086 up_2000 100<=X<500no checking 24 1_2_years critical/other used car 2346 up_2000 <100<0 14 1_2_years existing paid new car 3973 up_2000 <1000<=X<200 12 lo_1_year existing paid new car 888 lo_1000 <100no checking 48 up_2_years existing paid radio/tv 10222 up_2000 no known sav0<=X<200 30 up_2_years no credits/all business 4221 up_2000 <1000<=X<200 18 1_2_years critical/other furniture/equ 6361 up_2000 <100>=200 12 lo_1_year existing paid radio/tv 1297 1000_2000 <100<0 12 lo_1_year existing paid new car 900 lo_1000 no known savno checking 21 1_2_years existing paid furniture/equ 2241 up_2000 <1000<=X<200 6 lo_1_year delayed previ furniture/equ 1050 1000_2000 <100>=200 6 lo_1_year critical/other education 1047 1000_2000 <100no checking 24 1_2_years critical/other other 6314 up_2000 <1000<=X<200 30 up_2_years all paid furniture/equ 3496 up_2000 >=1000no checking 48 up_2_years all paid business 3609 up_2000 <100<0 12 lo_1_year critical/other new car 4843 up_2000 <100>=200 30 up_2_years critical/other radio/tv 3017 up_2000 <100no checking 24 1_2_years critical/other business 4139 up_2000 100<=X<500no checking 36 up_2_years existing paid business 5742 up_2000 100<=X<500no checking 60 up_2_years existing paid new car 10366 up_2000 <100no checking 6 lo_1_year critical/other new car 2080 up_2000 500<=X<100no checking 21 1_2_years delayed previ business 2580 up_2000 500<=X<100no checking 30 up_2_years critical/other radio/tv 4530 up_2000 <100no checking 24 1_2_years critical/other furniture/equ 5150 up_2000 <1000<=X<200 72 up_2_years existing paid radio/tv 5595 up_2000 100<=X<500<0 24 1_2_years existing paid radio/tv 2384 up_2000 <100no checking 18 1_2_years existing paid radio/tv 1453 1000_2000 <100no checking 6 lo_1_year existing paid education 1538 1000_2000 <100

no checking 12 lo_1_year existing paid radio/tv 2279 up_2000 no known savno checking 15 1_2_years delayed previ radio/tv 1478 1000_2000 <100no checking 24 1_2_years critical/other radio/tv 5103 up_2000 <1000<=X<200 36 up_2_years delayed previ business 9857 up_2000 100<=X<500no checking 60 up_2_years existing paid new car 6527 up_2000 no known sav>=200 10 lo_1_year critical/other radio/tv 1347 1000_2000 no known sav0<=X<200 36 up_2_years delayed previ new car 2862 up_2000 100<=X<500no checking 9 lo_1_year existing paid radio/tv 2753 up_2000 100<=X<500<0 12 lo_1_year existing paid new car 3651 up_2000 >=1000<0 15 1_2_years critical/other furniture/equ 975 lo_1000 <1000<=X<200 15 1_2_years existing paid repairs 2631 up_2000 100<=X<5000<=X<200 24 1_2_years existing paid radio/tv 2896 up_2000 100<=X<500<0 6 lo_1_year critical/other new car 4716 up_2000 no known savno checking 24 1_2_years existing paid radio/tv 2284 up_2000 <100no checking 6 lo_1_year existing paid used car 1236 1000_2000 500<=X<1000<=X<200 12 lo_1_year existing paid radio/tv 1103 1000_2000 <100no checking 12 lo_1_year critical/other new car 926 lo_1000 <100no checking 18 1_2_years critical/other radio/tv 1800 1000_2000 <100>=200 15 1_2_years existing paid education 1905 1000_2000 <100no checking 12 lo_1_year existing paid furniture/equ 1123 1000_2000 500<=X<100<0 48 up_2_years critical/other used car 6331 up_2000 <100>=200 24 1_2_years existing paid radio/tv 1377 1000_2000 100<=X<5000<=X<200 30 up_2_years delayed previ business 2503 up_2000 100<=X<5000<=X<200 27 up_2_years existing paid business 2528 up_2000 <100no checking 15 1_2_years existing paid new car 5324 up_2000 500<=X<1000<=X<200 48 up_2_years existing paid new car 6560 up_2000 100<=X<5000<=X<200 12 lo_1_year no credits/all furniture/equ 2969 up_2000 <1000<=X<200 9 lo_1_year existing paid radio/tv 1206 1000_2000 <1000<=X<200 9 lo_1_year existing paid radio/tv 2118 up_2000 <100no checking 18 1_2_years critical/other radio/tv 629 lo_1000 500<=X<100<0 6 lo_1_year all paid education 1198 1000_2000 <100no checking 21 1_2_years existing paid used car 2476 up_2000 no known sav<0 9 lo_1_year critical/other radio/tv 1138 1000_2000 <1000<=X<200 60 up_2_years existing paid new car 14027 up_2000 <100no checking 30 up_2_years critical/other used car 7596 up_2000 no known savno checking 30 up_2_years critical/other radio/tv 3077 up_2000 no known savno checking 18 1_2_years existing paid radio/tv 1505 1000_2000 <100>=200 24 1_2_years critical/other radio/tv 3148 up_2000 no known sav0<=X<200 20 1_2_years no credits/all used car 6148 up_2000 100<=X<500>=200 9 lo_1_year no credits/all radio/tv 1337 1000_2000 <1000<=X<200 6 lo_1_year all paid education 433 lo_1000 >=1000<0 12 lo_1_year existing paid new car 1228 1000_2000 <1000<=X<200 9 lo_1_year existing paid radio/tv 790 lo_1000 500<=X<100no checking 27 up_2_years existing paid new car 2570 up_2000 <100no checking 6 lo_1_year critical/other new car 250 lo_1000 >=1000no checking 15 1_2_years critical/other radio/tv 1316 1000_2000 500<=X<100<0 18 1_2_years existing paid radio/tv 1882 1000_2000 <1000<=X<200 48 up_2_years all paid business 6416 up_2000 <100>=200 24 1_2_years critical/other business 1275 1000_2000 >=10000<=X<200 24 1_2_years delayed previ radio/tv 6403 up_2000 <100<0 24 1_2_years existing paid radio/tv 1987 1000_2000 <1000<=X<200 8 lo_1_year existing paid radio/tv 760 lo_1000 <100no checking 24 1_2_years existing paid used car 2603 up_2000 >=1000no checking 4 lo_1_year critical/other new car 3380 up_2000 <1000<=X<200 36 up_2_years all paid domestic appl 3990 up_2000 no known sav0<=X<200 24 1_2_years existing paid used car 11560 up_2000 <100<0 18 1_2_years existing paid new car 4380 up_2000 100<=X<500no checking 6 lo_1_year critical/other new car 6761 up_2000 <1000<=X<200 30 up_2_years no credits/all business 4280 up_2000 100<=X<500<0 24 1_2_years all paid new car 2325 up_2000 100<=X<5000<=X<200 10 lo_1_year all paid radio/tv 1048 1000_2000 <100no checking 21 1_2_years existing paid radio/tv 3160 up_2000 no known sav

<0 24 1_2_years all paid furniture/equ 2483 up_2000 500<=X<100<0 39 up_2_years critical/other furniture/equ 14179 up_2000 no known sav<0 13 1_2_years critical/other business 1797 1000_2000 <100<0 15 1_2_years existing paid new car 2511 up_2000 <100<0 12 lo_1_year existing paid new car 1274 1000_2000 <100no checking 21 1_2_years existing paid used car 5248 up_2000 no known savno checking 15 1_2_years existing paid used car 3029 up_2000 <100<0 6 lo_1_year existing paid furniture/equ 428 lo_1000 <100<0 18 1_2_years existing paid new car 976 lo_1000 <1000<=X<200 12 lo_1_year existing paid business 841 lo_1000 100<=X<500no checking 30 up_2_years critical/other radio/tv 5771 up_2000 <100no checking 12 lo_1_year delayed previ repairs 1555 1000_2000 >=1000<0 24 1_2_years existing paid new car 1285 1000_2000 no known sav>=200 6 lo_1_year critical/other new car 1299 1000_2000 <100>=200 15 1_2_years critical/other radio/tv 1271 1000_2000 no known savno checking 24 1_2_years existing paid new car 1393 1000_2000 <100<0 12 lo_1_year critical/other new car 691 lo_1000 <100no checking 15 1_2_years critical/other new car 5045 up_2000 no known sav<0 18 1_2_years critical/other furniture/equ 2124 up_2000 <100<0 12 lo_1_year existing paid radio/tv 2214 up_2000 <100no checking 21 1_2_years critical/other new car 12680 up_2000 no known savno checking 24 1_2_years critical/other new car 2463 up_2000 100<=X<5000<=X<200 12 lo_1_year existing paid radio/tv 1155 1000_2000 <100<0 30 up_2_years existing paid furniture/equ 3108 up_2000 <100no checking 10 lo_1_year existing paid used car 2901 up_2000 no known sav0<=X<200 12 lo_1_year critical/other furniture/equ 3617 up_2000 <100no checking 12 lo_1_year critical/other radio/tv 1655 1000_2000 <100<0 24 1_2_years existing paid used car 2812 up_2000 no known sav<0 36 up_2_years critical/other education 8065 up_2000 <100no checking 21 1_2_years critical/other used car 3275 up_2000 <100no checking 24 1_2_years critical/other radio/tv 2223 up_2000 100<=X<500>=200 12 lo_1_year critical/other new car 1480 1000_2000 500<=X<100<0 24 1_2_years existing paid new car 1371 1000_2000 no known savno checking 36 up_2_years critical/other new car 3535 up_2000 <100<0 18 1_2_years existing paid radio/tv 3509 up_2000 <100no checking 36 up_2_years critical/other used car 5711 up_2000 >=10000<=X<200 18 1_2_years existing paid repairs 3872 up_2000 <1000<=X<200 39 up_2_years critical/other radio/tv 4933 up_2000 <100no checking 24 1_2_years critical/other new car 1940 1000_2000 >=10000<=X<200 12 lo_1_year no credits/all retraining 1410 1000_2000 <1000<=X<200 12 lo_1_year existing paid new car 836 lo_1000 100<=X<5000<=X<200 20 1_2_years existing paid used car 6468 up_2000 no known sav0<=X<200 18 1_2_years existing paid business 1941 1000_2000 >=1000no checking 22 1_2_years existing paid radio/tv 2675 up_2000 500<=X<100no checking 48 up_2_years critical/other used car 2751 up_2000 no known sav0<=X<200 48 up_2_years delayed previ education 6224 up_2000 <100<0 40 up_2_years critical/other education 5998 up_2000 <1000<=X<200 21 1_2_years existing paid business 1188 1000_2000 <100no checking 24 1_2_years existing paid used car 6313 up_2000 no known savno checking 6 lo_1_year critical/other furniture/equ 1221 1000_2000 no known sav>=200 24 1_2_years existing paid furniture/equ 2892 up_2000 <100no checking 24 1_2_years existing paid furniture/equ 3062 up_2000 500<=X<100no checking 9 lo_1_year existing paid furniture/equ 2301 up_2000 100<=X<500<0 18 1_2_years existing paid used car 7511 up_2000 no known savno checking 12 lo_1_year critical/other furniture/equ 1258 1000_2000 <100no checking 24 1_2_years delayed previ new car 717 lo_1000 no known sav0<=X<200 9 lo_1_year existing paid new car 1549 1000_2000 no known savno checking 24 1_2_years critical/other education 1597 1000_2000 <1000<=X<200 18 1_2_years critical/other radio/tv 1795 1000_2000 <100<0 20 1_2_years critical/other furniture/equ 4272 up_2000 <100no checking 12 lo_1_year critical/other radio/tv 976 lo_1000 no known sav0<=X<200 12 lo_1_year existing paid new car 7472 up_2000 no known sav

<0 36 up_2_years existing paid new car 9271 up_2000 <1000<=X<200 6 lo_1_year existing paid radio/tv 590 lo_1000 <100no checking 12 lo_1_year critical/other radio/tv 930 lo_1000 no known sav0<=X<200 42 up_2_years all paid used car 9283 up_2000 <1000<=X<200 15 1_2_years no credits/all new car 1778 1000_2000 <1000<=X<200 8 lo_1_year existing paid business 907 lo_1000 <1000<=X<200 6 lo_1_year existing paid radio/tv 484 lo_1000 <100<0 36 up_2_years critical/other used car 9629 up_2000 <100<0 48 up_2_years existing paid domestic appl 3051 up_2000 <100<0 48 up_2_years existing paid new car 3931 up_2000 <1000<=X<200 36 up_2_years delayed previ new car 7432 up_2000 <100no checking 6 lo_1_year existing paid domestic appl 1338 1000_2000 500<=X<100no checking 6 lo_1_year critical/other radio/tv 1554 1000_2000 <100<0 36 up_2_years existing paid other 15857 up_2000 <100<0 18 1_2_years existing paid radio/tv 1345 1000_2000 <100no checking 12 lo_1_year existing paid new car 1101 1000_2000 <100>=200 12 lo_1_year existing paid radio/tv 3016 up_2000 <100<0 36 up_2_years existing paid furniture/equ 2712 up_2000 <100<0 8 lo_1_year critical/other new car 731 lo_1000 <100no checking 18 1_2_years critical/other furniture/equ 3780 up_2000 <100<0 21 1_2_years critical/other new car 1602 1000_2000 <100<0 18 1_2_years critical/other new car 3966 up_2000 <100no checking 18 1_2_years no credits/all business 4165 up_2000 <100<0 36 up_2_years existing paid used car 8335 up_2000 no known sav0<=X<200 48 up_2_years delayed previ business 6681 up_2000 no known savno checking 24 1_2_years delayed previ business 2375 up_2000 500<=X<100<0 18 1_2_years existing paid new car 1216 1000_2000 <100<0 45 up_2_years no credits/all business 11816 up_2000 <1000<=X<200 24 1_2_years existing paid radio/tv 5084 up_2000 no known sav>=200 15 1_2_years existing paid radio/tv 2327 up_2000 <100<0 12 lo_1_year no credits/all new car 1082 1000_2000 <100no checking 12 lo_1_year existing paid radio/tv 886 lo_1000 no known savno checking 4 lo_1_year existing paid furniture/equ 601 lo_1000 <100<0 24 1_2_years critical/other used car 2957 up_2000 <100no checking 24 1_2_years critical/other radio/tv 2611 up_2000 <100<0 36 up_2_years existing paid furniture/equ 5179 up_2000 <100no checking 21 1_2_years delayed previ used car 2993 up_2000 <100no checking 18 1_2_years existing paid repairs 1943 1000_2000 <100no checking 24 1_2_years all paid business 1559 1000_2000 <100no checking 18 1_2_years existing paid furniture/equ 3422 up_2000 <1000<=X<200 21 1_2_years existing paid furniture/equ 3976 up_2000 no known savno checking 18 1_2_years existing paid new car 6761 up_2000 no known savno checking 24 1_2_years existing paid new car 1249 1000_2000 <100<0 9 lo_1_year existing paid radio/tv 1364 1000_2000 <100<0 12 lo_1_year existing paid radio/tv 709 lo_1000 <100<0 20 1_2_years critical/other new car 2235 up_2000 <100no checking 24 1_2_years critical/other used car 4042 up_2000 no known savno checking 15 1_2_years critical/other radio/tv 1471 1000_2000 <100<0 18 1_2_years all paid new car 1442 1000_2000 <100no checking 36 up_2_years delayed previ new car 10875 up_2000 <100no checking 24 1_2_years existing paid new car 1474 1000_2000 100<=X<500no checking 10 lo_1_year existing paid retraining 894 lo_1000 no known savno checking 15 1_2_years critical/other furniture/equ 3343 up_2000 <100<0 15 1_2_years existing paid new car 3959 up_2000 <100no checking 9 lo_1_year existing paid new car 3577 up_2000 100<=X<500no checking 24 1_2_years critical/other used car 5804 up_2000 >=1000no checking 18 1_2_years delayed previ business 2169 up_2000 <100<0 24 1_2_years existing paid radio/tv 2439 up_2000 <100no checking 27 up_2_years critical/other furniture/equ 4526 up_2000 >=1000no checking 10 lo_1_year existing paid furniture/equ 2210 up_2000 <100no checking 15 1_2_years existing paid furniture/equ 2221 up_2000 500<=X<100<0 18 1_2_years existing paid radio/tv 2389 up_2000 <100

no checking 12 lo_1_year critical/other furniture/equ 3331 up_2000 <100no checking 36 up_2_years existing paid business 7409 up_2000 no known sav<0 12 lo_1_year existing paid furniture/equ 652 lo_1000 <100no checking 36 up_2_years delayed previ furniture/equ 7678 up_2000 500<=X<100>=200 6 lo_1_year critical/other new car 1343 1000_2000 <100<0 24 1_2_years critical/other business 1382 1000_2000 100<=X<500no checking 15 1_2_years existing paid domestic appl 874 lo_1000 no known sav<0 12 lo_1_year existing paid furniture/equ 3590 up_2000 <1000<=X<200 11 lo_1_year critical/other new car 1322 1000_2000 >=1000<0 18 1_2_years all paid radio/tv 1940 1000_2000 <100no checking 36 up_2_years existing paid radio/tv 3595 up_2000 <100<0 9 lo_1_year existing paid new car 1422 1000_2000 <100no checking 30 up_2_years critical/other radio/tv 6742 up_2000 no known savno checking 24 1_2_years existing paid used car 7814 up_2000 <100no checking 24 1_2_years existing paid used car 9277 up_2000 no known sav0<=X<200 30 up_2_years critical/other new car 2181 up_2000 no known savno checking 18 1_2_years critical/other radio/tv 1098 1000_2000 <1000<=X<200 24 1_2_years existing paid furniture/equ 4057 up_2000 <100<0 12 lo_1_year existing paid education 795 lo_1000 <1000<=X<200 24 1_2_years critical/other business 2825 up_2000 no known sav0<=X<200 48 up_2_years existing paid business 15672 up_2000 <100no checking 36 up_2_years critical/other new car 6614 up_2000 <100no checking 28 up_2_years all paid used car 7824 up_2000 no known sav<0 27 up_2_years critical/other business 2442 up_2000 <100no checking 15 1_2_years critical/other radio/tv 1829 1000_2000 <100<0 12 lo_1_year critical/other new car 2171 up_2000 <1000<=X<200 36 up_2_years critical/other used car 5800 up_2000 <100no checking 18 1_2_years critical/other radio/tv 1169 1000_2000 no known savno checking 36 up_2_years delayed previ used car 8947 up_2000 no known sav<0 21 1_2_years existing paid radio/tv 2606 up_2000 <100no checking 12 lo_1_year critical/other furniture/equ 1592 1000_2000 >=1000no checking 15 1_2_years existing paid furniture/equ 2186 up_2000 no known sav<0 18 1_2_years existing paid furniture/equ 4153 up_2000 <100<0 16 1_2_years critical/other new car 2625 up_2000 <100no checking 20 1_2_years critical/other new car 3485 up_2000 no known savno checking 36 up_2_years critical/other used car 10477 up_2000 no known savno checking 15 1_2_years existing paid radio/tv 1386 1000_2000 no known savno checking 24 1_2_years existing paid radio/tv 1278 1000_2000 <100<0 12 lo_1_year existing paid radio/tv 1107 1000_2000 <100<0 21 1_2_years existing paid new car 3763 up_2000 no known sav0<=X<200 36 up_2_years existing paid education 3711 up_2000 no known savno checking 15 1_2_years delayed previ used car 3594 up_2000 <1000<=X<200 9 lo_1_year existing paid new car 3195 up_2000 no known savno checking 36 up_2_years delayed previ radio/tv 4454 up_2000 <1000<=X<200 24 1_2_years critical/other furniture/equ 4736 up_2000 <1000<=X<200 30 up_2_years existing paid radio/tv 2991 up_2000 no known savno checking 11 lo_1_year existing paid business 2142 up_2000 >=1000<0 24 1_2_years all paid business 3161 up_2000 <1000<=X<200 48 up_2_years no credits/all other 18424 up_2000 <100no checking 10 lo_1_year existing paid used car 2848 up_2000 100<=X<500<0 6 lo_1_year existing paid new car 14896 up_2000 <100<0 24 1_2_years existing paid furniture/equ 2359 up_2000 100<=X<500<0 24 1_2_years existing paid furniture/equ 3345 up_2000 <100no checking 18 1_2_years critical/other furniture/equ 1817 1000_2000 <100no checking 48 up_2_years delayed previ radio/tv 12749 up_2000 500<=X<100<0 9 lo_1_year existing paid radio/tv 1366 1000_2000 <1000<=X<200 12 lo_1_year existing paid new car 2002 up_2000 <100<0 24 1_2_years all paid furniture/equ 6872 up_2000 <100<0 12 lo_1_year all paid new car 697 lo_1000 <100<0 18 1_2_years critical/other furniture/equ 1049 1000_2000 <100<0 48 up_2_years existing paid used car 10297 up_2000 <100no checking 30 up_2_years existing paid radio/tv 1867 1000_2000 no known sav

<0 12 lo_1_year delayed previ new car 1344 1000_2000 <100<0 24 1_2_years existing paid furniture/equ 1747 1000_2000 <1000<=X<200 9 lo_1_year existing paid radio/tv 1670 1000_2000 <100no checking 9 lo_1_year critical/other new car 1224 1000_2000 <100no checking 12 lo_1_year critical/other radio/tv 522 lo_1000 500<=X<100<0 12 lo_1_year existing paid radio/tv 1498 1000_2000 <1000<=X<200 30 up_2_years delayed previ radio/tv 1919 1000_2000 100<=X<500>=200 9 lo_1_year existing paid radio/tv 745 lo_1000 <1000<=X<200 6 lo_1_year existing paid radio/tv 2063 up_2000 <1000<=X<200 60 up_2_years existing paid education 6288 up_2000 <100no checking 24 1_2_years critical/other used car 6842 up_2000 no known savno checking 12 lo_1_year existing paid new car 3527 up_2000 no known savno checking 10 lo_1_year existing paid new car 1546 1000_2000 <100no checking 24 1_2_years existing paid furniture/equ 929 lo_1000 no known savno checking 4 lo_1_year critical/other new car 1455 1000_2000 <100<0 15 1_2_years existing paid furniture/equ 1845 1000_2000 <1000<=X<200 48 up_2_years no credits/all new car 8358 up_2000 500<=X<100<0 24 1_2_years all paid furniture/equ 3349 up_2000 500<=X<100no checking 12 lo_1_year existing paid new car 2859 up_2000 no known savno checking 18 1_2_years existing paid furniture/equ 1533 1000_2000 <100no checking 24 1_2_years existing paid radio/tv 3621 up_2000 100<=X<5000<=X<200 18 1_2_years critical/other business 3590 up_2000 <100<0 36 up_2_years delayed previ business 2145 up_2000 <1000<=X<200 24 1_2_years existing paid used car 4113 up_2000 500<=X<100no checking 36 up_2_years existing paid furniture/equ 10974 up_2000 <100<0 12 lo_1_year existing paid new car 1893 1000_2000 <100<0 24 1_2_years critical/other radio/tv 1231 1000_2000 >=1000>=200 30 up_2_years critical/other radio/tv 3656 up_2000 no known sav0<=X<200 9 lo_1_year critical/other radio/tv 1154 1000_2000 <100<0 28 up_2_years existing paid new car 4006 up_2000 <1000<=X<200 24 1_2_years existing paid furniture/equ 3069 up_2000 100<=X<500no checking 6 lo_1_year critical/other radio/tv 1740 1000_2000 <1000<=X<200 21 1_2_years delayed previ new car 2353 up_2000 <100no checking 15 1_2_years existing paid new car 3556 up_2000 no known savno checking 24 1_2_years existing paid radio/tv 2397 up_2000 500<=X<1000<=X<200 6 lo_1_year existing paid repairs 454 lo_1000 <1000<=X<200 30 up_2_years existing paid radio/tv 1715 1000_2000 no known sav0<=X<200 27 up_2_years critical/other radio/tv 2520 up_2000 500<=X<100no checking 15 1_2_years existing paid radio/tv 3568 up_2000 <100no checking 42 up_2_years existing paid radio/tv 7166 up_2000 no known sav<0 11 lo_1_year critical/other new car 3939 up_2000 <1000<=X<200 15 1_2_years existing paid repairs 1514 1000_2000 100<=X<500no checking 24 1_2_years existing paid new car 7393 up_2000 <100<0 24 1_2_years all paid new car 1193 1000_2000 <100<0 60 up_2_years existing paid business 7297 up_2000 <100no checking 30 up_2_years critical/other radio/tv 2831 up_2000 <100>=200 24 1_2_years existing paid radio/tv 1258 1000_2000 500<=X<1000<=X<200 6 lo_1_year existing paid radio/tv 753 lo_1000 <1000<=X<200 18 1_2_years delayed previ business 2427 up_2000 no known savno checking 24 1_2_years delayed previ new car 2538 up_2000 <1000<=X<200 15 1_2_years all paid new car 1264 1000_2000 100<=X<5000<=X<200 30 up_2_years critical/other furniture/equ 8386 up_2000 <100no checking 48 up_2_years existing paid business 4844 up_2000 <100>=200 21 1_2_years existing paid new car 2923 up_2000 100<=X<500<0 36 up_2_years existing paid used car 8229 up_2000 <100no checking 24 1_2_years critical/other furniture/equ 2028 up_2000 <100<0 15 1_2_years critical/other furniture/equ 1433 1000_2000 <100>=200 42 up_2_years no credits/all business 6289 up_2000 <100no checking 13 1_2_years existing paid radio/tv 1409 1000_2000 100<=X<500<0 24 1_2_years existing paid used car 6579 up_2000 <1000<=X<200 24 1_2_years critical/other radio/tv 1743 1000_2000 <100no checking 12 lo_1_year critical/other education 3565 up_2000 no known sav

no checking 15 1_2_years all paid radio/tv 1569 1000_2000 100<=X<500<0 18 1_2_years existing paid radio/tv 1936 1000_2000 no known sav<0 36 up_2_years existing paid furniture/equ 3959 up_2000 <100no checking 12 lo_1_year existing paid new car 2390 up_2000 no known savno checking 12 lo_1_year existing paid furniture/equ 1736 1000_2000 <100<0 30 up_2_years existing paid used car 3857 up_2000 <100no checking 12 lo_1_year existing paid radio/tv 804 lo_1000 <100<0 45 up_2_years existing paid radio/tv 1845 1000_2000 <1000<=X<200 45 up_2_years critical/other used car 4576 up_2000 100<=X<500

employmentinstallmen personal_stother_parti residence_sproperty_magnitude age>=7 4 male single none 4 real estate 671<=X<4 2 female div/de none 2 real estate 224<=X<7 2 male single none 3 real estate 494<=X<7 2 male single guarantor 4 life insurance 451<=X<4 3 male single none 4 no known property 531<=X<4 2 male single none 4 no known property 35>=7 3 male single none 4 life insurance 531<=X<4 2 male single none 2 car 354<=X<7 2 male div/sep none 4 real estate 61unemployed 4 male mar/wid none 2 car 28<1 3 female div/de none 1 car 25<1 3 female div/de none 4 life insurance 241<=X<4 1 female div/de none 1 car 22>=7 4 male single none 4 car 601<=X<4 2 female div/de none 4 car 281<=X<4 4 female div/de none 2 car 32>=7 4 male single none 4 life insurance 53<1 2 male single none 3 car 25>=7 4 female div/de none 2 no known property 44>=7 3 male single none 2 car 311<=X<4 4 male single none 4 car 481<=X<4 2 male single none 3 real estate 44<1 1 male single none 3 real estate 48<1 3 male single none 4 life insurance 441<=X<4 2 male mar/wid none 1 car 261<=X<4 1 male single none 2 real estate 36>=7 4 male mar/wid none 4 car 391<=X<4 3 female div/de none 3 real estate 421<=X<4 3 male single guarantor 2 real estate 34>=7 3 male single none 4 no known property 63<1 3 male mar/wid none 3 real estate 361<=X<4 2 male single none 2 car 271<=X<4 2 male single none 2 car 30>=7 4 male single none 4 no known property 57<1 4 female div/de none 1 life insurance 33<1 4 male single none 2 life insurance 251<=X<4 1 male single none 3 no known property 311<=X<4 4 male single co applicant 2 real estate 371<=X<4 2 male single none 2 car 371<=X<4 4 male single none 3 real estate 24>=7 4 male single none 2 car 301<=X<4 3 male div/sep none 1 car 261<=X<4 2 male single none 4 real estate 444<=X<7 1 male mar/wid none 4 car 24>=7 4 female div/de none 4 no known property 58<1 4 female div/de none 4 car 35>=7 4 male single none 4 car 39unemployed 1 female div/de none 2 life insurance 231<=X<4 1 male single none 4 life insurance 391<=X<4 4 female div/de co applicant 2 real estate 28<1 4 male single none 2 life insurance 29>=7 1 male single none 2 car 301<=X<4 3 male single none 2 car 251<=X<4 2 male single none 1 life insurance 31>=7 4 male single none 4 no known property 571<=X<4 1 male single guarantor 2 real estate 26unemployed 2 male single none 1 no known property 521<=X<4 2 female div/de none 2 car 31>=7 3 female div/de none 2 car 23<1 4 female div/de co applicant 4 no known property 231<=X<4 2 male mar/wid none 1 real estate 27

>=7 4 male single guarantor 4 real estate 50>=7 4 male single none 4 no known property 611<=X<4 2 male single none 2 car 25<1 4 female div/de none 4 life insurance 26>=7 4 male single none 4 life insurance 48<1 2 female div/de none 2 car 291<=X<4 4 male mar/wid none 1 real estate 221<=X<4 4 male single none 4 no known property 371<=X<4 4 female div/de none 4 car 251<=X<4 1 female div/de none 2 life insurance 30>=7 4 male single none 2 life insurance 46>=7 3 male single none 4 no known property 514<=X<7 2 female div/de none 1 real estate 41>=7 4 male single none 4 no known property 40>=7 4 male single none 4 no known property 66<1 4 male single none 3 car 344<=X<7 2 male single none 4 life insurance 511<=X<4 2 male single none 2 life insurance 39<1 2 male mar/wid none 1 life insurance 22<1 1 female div/de none 1 car 44>=7 4 male single none 3 life insurance 471<=X<4 3 female div/de none 4 life insurance 24>=7 4 female div/de guarantor 4 real estate 58>=7 3 male single none 4 real estate 521<=X<4 4 female div/de guarantor 2 real estate 29<1 4 female div/de none 1 life insurance 271<=X<4 1 male single none 4 no known property 474<=X<7 4 male single none 3 car 304<=X<7 4 male single none 3 real estate 28>=7 4 male single none 4 real estate 56>=7 4 male single none 3 real estate 54>=7 4 female div/de none 3 life insurance 33>=7 4 male single co applicant 4 no known property 20>=7 4 male single none 4 real estate 54<1 3 male single none 4 no known property 584<=X<7 4 female div/de none 2 car 611<=X<4 4 male single none 4 car 34>=7 4 male single none 4 real estate 364<=X<7 3 male single none 4 life insurance 36>=7 4 male mar/wid none 4 real estate 414<=X<7 4 male single none 4 car 241<=X<4 3 female div/de none 2 real estate 244<=X<7 4 male single none 3 car 35<1 2 male mar/wid none 4 car 261<=X<4 2 male single co applicant 3 car 39>=7 2 male single none 4 no known property 394<=X<7 2 male single none 2 car 32<1 1 female div/de none 2 life insurance 30>=7 1 male mar/wid none 2 real estate 35>=7 1 male div/sep none 2 car 31<1 4 female div/de none 4 life insurance 234<=X<7 3 male single none 3 real estate 281<=X<4 4 female div/de none 2 real estate 25>=7 3 male mar/wid none 1 real estate 35>=7 4 male single none 1 real estate 474<=X<7 4 female div/de none 3 car 30<1 2 female div/de co applicant 3 real estate 271<=X<4 1 female div/de none 4 car 234<=X<7 3 male div/sep none 3 car 361<=X<4 3 female div/de none 2 real estate 25>=7 4 female div/de none 2 car 411<=X<4 3 male single none 2 real estate 24

>=7 4 male single none 4 no known property 63<1 4 female div/de none 3 real estate 271<=X<4 4 male single none 2 life insurance 301<=X<4 4 male mar/wid none 2 real estate 401<=X<4 4 male single none 2 car 30unemployed 4 male single none 2 car 341<=X<4 3 female div/de co applicant 2 real estate 294<=X<7 1 female div/de none 2 car 241<=X<4 4 male single none 3 life insurance 29<1 2 male single none 3 life insurance 271<=X<4 4 male single none 4 no known property 474<=X<7 2 female div/de none 4 real estate 21>=7 4 female div/de none 2 real estate 381<=X<4 2 male single none 2 car 271<=X<4 4 male single none 3 real estate 664<=X<7 4 male single guarantor 2 real estate 351<=X<4 2 female div/de none 2 car 44<1 2 male mar/wid none 2 real estate 27<1 4 female div/de none 1 no known property 301<=X<4 3 male single none 2 car 271<=X<4 2 male single none 2 car 22<1 4 female div/de none 4 life insurance 234<=X<7 4 male single none 2 car 30>=7 1 female div/de none 4 no known property 394<=X<7 4 female div/de none 3 car 511<=X<4 3 male single guarantor 2 life insurance 28>=7 4 male single none 4 car 46>=7 2 male single none 4 no known property 421<=X<4 1 male single none 4 life insurance 381<=X<4 4 male single none 1 car 24>=7 2 female div/de none 4 no known property 294<=X<7 4 male single none 4 car 361<=X<4 2 female div/de none 4 car 20>=7 3 male single guarantor 4 real estate 48>=7 4 male mar/wid none 1 car 454<=X<7 2 male single none 3 car 381<=X<4 1 male single none 2 real estate 34>=7 3 male single none 4 real estate 36<1 4 female div/de none 1 life insurance 304<=X<7 4 male single none 3 life insurance 36unemployed 2 male single none 4 no known property 70>=7 4 male single none 4 life insurance 361<=X<4 1 male single none 2 car 32unemployed 4 female div/de none 2 car 33<1 4 female div/de none 1 real estate 204<=X<7 2 female div/de none 4 life insurance 25>=7 4 male div/sep none 4 real estate 31>=7 4 male single none 3 car 331<=X<4 4 female div/de none 1 real estate 26unemployed 3 female div/de none 2 life insurance 341<=X<4 4 male single guarantor 2 real estate 33<1 2 male single none 1 life insurance 26unemployed 4 female div/de none 1 real estate 531<=X<4 2 male div/sep none 1 car 42>=7 4 male single none 4 car 524<=X<7 4 male single none 2 car 31>=7 4 male single none 4 real estate 65<1 1 male div/sep none 1 car 281<=X<4 2 male div/sep none 2 real estate 301<=X<4 4 male single none 2 life insurance 401<=X<4 4 male single none 4 real estate 50>=7 4 male single none 4 car 36

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>=7 3 male single none 4 car 33<1 1 female div/de none 3 real estate 23>=7 2 male single none 4 no known property 63>=7 3 female div/de none 4 no known property 604<=X<7 2 female div/de guarantor 4 car 37unemployed 2 male mar/wid none 3 real estate 34>=7 3 male single none 4 no known property 36>=7 4 male single none 2 no known property 571<=X<4 4 female div/de none 4 car 524<=X<7 4 male single none 4 car 39unemployed 3 female div/de none 4 no known property 384<=X<7 4 female div/de none 4 life insurance 25<1 4 male single none 1 real estate 261<=X<4 2 male single none 2 life insurance 261<=X<4 2 female div/de none 1 car 25<1 4 female div/de none 2 real estate 21unemployed 4 male single none 4 life insurance 401<=X<4 2 male single none 4 car 274<=X<7 3 female div/de none 2 car 271<=X<4 2 male mar/wid none 2 life insurance 30<1 1 female div/de none 4 real estate 194<=X<7 2 male single none 4 no known property 394<=X<7 1 female div/de none 4 car 31unemployed 2 male single none 3 car 314<=X<7 2 male single none 3 no known property 32unemployed 3 female div/de none 4 no known property 551<=X<4 3 male mar/wid none 2 life insurance 46>=7 1 male div/sep none 1 real estate 461<=X<4 4 female div/de none 1 real estate 43<1 3 male mar/wid none 4 real estate 391<=X<4 4 male mar/wid none 4 real estate 28<1 2 male single none 2 car 271<=X<4 4 male single none 2 car 27>=7 4 male single none 4 car 43<1 1 male mar/wid none 1 life insurance 224<=X<7 4 male single none 4 car 43<1 4 male mar/wid none 2 real estate 27>=7 3 male div/sep none 2 car 264<=X<7 4 male mar/wid none 2 real estate 28>=7 4 female div/de none 4 car 204<=X<7 3 male single none 2 car 35unemployed 4 male single none 2 car 421<=X<4 3 male single none 2 no known property 401<=X<4 4 female div/de none 2 life insurance 35>=7 2 male single none 2 life insurance 35<1 4 male single none 1 real estate 331<=X<4 1 female div/de none 2 car 234<=X<7 1 female div/de none 2 car 311<=X<4 4 female div/de none 2 life insurance 334<=X<7 2 female div/de none 3 car 201<=X<4 4 male single none 2 car 304<=X<7 2 male single none 3 real estate 474<=X<7 4 male single none 3 real estate 34>=7 1 female div/de none 2 life insurance 251<=X<4 1 male mar/wid none 3 car 21>=7 4 male single none 2 car 291<=X<4 4 male single none 3 real estate 46>=7 1 male single none 4 car 20unemployed 2 female div/de none 4 no known property 554<=X<7 1 male single none 4 real estate 741<=X<4 2 male single co applicant 3 car 29unemployed 4 male single none 4 no known property 36

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1<=X<4 2 male mar/wid none 4 car 20<1 4 male single co applicant 1 no known property 294<=X<7 4 male single none 3 life insurance 40>=7 4 male mar/wid guarantor 2 real estate 32>=7 2 male div/sep none 4 car 28<1 4 female div/de none 1 life insurance 27>=7 2 male single none 4 no known property 42>=7 2 male div/sep none 4 real estate 49<1 4 male single none 4 no known property 38<1 4 female div/de none 4 life insurance 241<=X<4 4 male single guarantor 4 life insurance 271<=X<4 2 male single none 2 car 36unemployed 1 male single none 2 life insurance 341<=X<4 4 male mar/wid none 2 life insurance 28>=7 4 male single none 2 car 454<=X<7 4 male single none 2 real estate 261<=X<4 2 male single none 2 no known property 324<=X<7 2 male single none 4 life insurance 261<=X<4 4 male mar/wid co applicant 4 real estate 20<1 4 male single none 1 life insurance 544<=X<7 4 female div/de none 3 life insurance 37<1 2 male single none 4 real estate 40<1 2 female div/de none 4 life insurance 23>=7 3 male single none 2 life insurance 43>=7 4 male single none 4 no known property 36>=7 3 male single none 4 no known property 441<=X<4 2 female div/de none 2 real estate 241<=X<4 3 male single none 4 no known property 534<=X<7 3 female div/de none 4 car 231<=X<4 4 female div/de guarantor 4 real estate 26<1 2 male single none 3 car 301<=X<4 4 female div/de none 3 car 314<=X<7 2 male single none 1 real estate 421<=X<4 4 male div/sep none 4 car 31<1 3 male single none 4 real estate 414<=X<7 3 male single none 1 car 321<=X<4 2 female div/de none 4 car 281<=X<4 4 male mar/wid none 4 real estate 414<=X<7 4 male mar/wid none 3 life insurance 26<1 4 male single none 2 car 25<1 2 male div/sep none 1 car 33unemployed 4 female div/de none 3 life insurance 75>=7 3 female div/de none 4 life insurance 37>=7 4 male single none 4 no known property 42<1 1 female div/de none 1 life insurance 45<1 1 male mar/wid none 1 real estate 23>=7 4 male single none 4 no known property 60>=7 4 male single none 4 life insurance 311<=X<4 2 male single none 1 real estate 34>=7 4 male single none 4 real estate 61unemployed 4 male single none 2 real estate 431<=X<4 4 female div/de none 4 car 374<=X<7 3 male single none 1 car 321<=X<4 4 female div/de none 4 real estate 244<=X<7 2 male single none 1 no known property 354<=X<7 4 female div/de none 4 real estate 23>=7 2 male single none 4 life insurance 454<=X<7 1 male mar/wid guarantor 1 real estate 34<1 4 male single none 1 car 274<=X<7 4 female div/de none 4 life insurance 67<1 2 male single none 1 car 22<1 3 female div/de none 3 car 28

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1<=X<4 4 male single none 4 no known property 371<=X<4 4 male mar/wid none 3 real estate 33<1 3 male mar/wid none 3 no known property 474<=X<7 1 male single none 3 life insurance 311<=X<4 4 male single none 4 no known property 344<=X<7 4 male single none 2 life insurance 27>=7 4 male single none 3 no known property 30>=7 3 male single co applicant 4 car 351<=X<4 1 male single none 3 life insurance 311<=X<4 2 male div/sep none 3 life insurance 251<=X<4 3 female div/de none 2 real estate 25<1 2 male single none 1 car 29<1 1 male single none 3 real estate 444<=X<7 4 male single none 2 car 281<=X<4 2 male single none 4 life insurance 504<=X<7 4 male single guarantor 3 real estate 29unemployed 1 female div/de none 2 life insurance 381<=X<4 4 male single none 2 car 24>=7 4 male single none 4 car 401<=X<4 4 female div/de none 4 car 29>=7 4 male single none 4 no known property 46>=7 4 female div/de none 2 no known property 47>=7 4 male single none 2 life insurance 41<1 4 female div/de none 1 life insurance 32>=7 1 female div/de none 4 no known property 354<=X<7 3 male single none 2 life insurance 24<1 4 female div/de none 3 life insurance 25>=7 4 female div/de none 4 real estate 251<=X<4 2 male single none 2 real estate 37>=7 4 male single none 3 life insurance 32>=7 4 female div/de none 4 no known property 35>=7 4 male single none 4 real estate 461<=X<4 4 male single none 4 real estate 254<=X<7 4 male single none 2 no known property 27>=7 1 male single none 4 car 63>=7 3 male single none 2 car 401<=X<4 4 male single none 2 no known property 321<=X<4 3 male single none 2 car 31>=7 3 male mar/wid none 4 car 31<1 4 male single none 2 car 34<1 4 female div/de none 2 life insurance 241<=X<4 4 female div/de none 2 real estate 241<=X<4 4 female div/de none 3 real estate 661<=X<4 3 female div/de none 3 real estate 211<=X<4 2 female div/de none 2 real estate 411<=X<4 2 male mar/wid none 2 life insurance 471<=X<4 4 female div/de none 4 car 25>=7 4 female div/de none 3 no known property 591<=X<4 2 male div/sep none 4 real estate 36<1 1 male single none 2 car 331<=X<4 2 male single none 4 real estate 214<=X<7 4 female div/de guarantor 2 real estate 441<=X<4 2 female div/de none 4 car 284<=X<7 1 female div/de none 1 real estate 37<1 3 female div/de none 2 no known property 291<=X<4 1 female div/de none 4 car 231<=X<4 3 male single none 4 car 354<=X<7 1 male single none 3 no known property 451<=X<4 4 female div/de none 4 car 264<=X<7 2 male single none 3 car 321<=X<4 4 male single none 4 real estate 23>=7 4 male single none 3 life insurance 41

1<=X<4 4 male single none 4 real estate 224<=X<7 4 male single none 4 life insurance 30<1 3 male single none 1 life insurance 28unemployed 1 female div/de none 4 car 23<1 3 female div/de none 1 real estate 371<=X<4 1 male single none 3 car 264<=X<7 2 male single none 2 car 33>=7 2 female div/de none 1 life insurance 49<1 1 female div/de none 2 car 234<=X<7 2 female div/de none 4 real estate 234<=X<7 4 female div/de none 2 car 25>=7 4 male single none 4 no known property 554<=X<7 4 female div/de none 4 no known property 321<=X<4 1 male single none 1 real estate 741<=X<4 3 male single none 4 no known property 391<=X<4 2 male single guarantor 2 real estate 31>=7 4 male single none 3 life insurance 35>=7 1 female div/de none 4 car 591<=X<4 4 female div/de none 4 real estate 241<=X<4 4 male single none 3 life insurance 24>=7 4 male single none 4 no known property 304<=X<7 4 male mar/wid none 3 life insurance 27>=7 3 male mar/wid guarantor 3 real estate 40<1 2 male div/sep none 4 life insurance 31<1 1 female div/de none 4 real estate 31>=7 1 male single none 4 car 28>=7 2 male single none 4 real estate 63>=7 2 female div/de none 4 real estate 261<=X<4 3 female div/de none 2 no known property 25>=7 1 male single none 4 car 36>=7 4 male single none 4 life insurance 52unemployed 2 male single none 4 no known property 661<=X<4 4 female div/de none 4 real estate 254<=X<7 4 male single none 4 car 374<=X<7 4 female div/de guarantor 1 real estate 25>=7 4 male single none 2 car 38unemployed 2 female div/de none 4 car 674<=X<7 2 male single guarantor 2 real estate 25>=7 4 male single none 4 real estate 601<=X<4 2 male single none 2 real estate 31<1 4 female div/de none 2 life insurance 23unemployed 1 male div/sep none 4 real estate 601<=X<4 4 male single none 2 life insurance 35>=7 3 male single none 4 car 40>=7 4 male single none 3 car 38>=7 4 male single none 4 no known property 501<=X<4 4 male single none 3 no known property 27>=7 2 female div/de none 4 life insurance 39>=7 3 male single none 4 car 411<=X<4 1 male mar/wid none 2 life insurance 27>=7 3 male div/sep none 4 no known property 51>=7 4 male single none 3 no known property 32<1 2 female div/de none 4 life insurance 22>=7 1 male single none 4 life insurance 51<1 2 female div/de none 4 life insurance 22>=7 4 male mar/wid none 4 car 54<1 4 male single none 2 real estate 35>=7 4 male single none 4 no known property 54>=7 3 female div/de guarantor 4 real estate 48>=7 1 female div/de none 4 life insurance 24>=7 4 male single none 4 car 35unemployed 1 female div/de none 2 real estate 24

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>=7 2 male single none 4 life insurance 42>=7 3 male single none 2 life insurance 37>=7 4 female div/de none 4 life insurance 244<=X<7 2 female div/de none 4 car 40>=7 1 male single none 4 real estate 464<=X<7 4 male single none 1 real estate 26<1 4 female div/de none 1 real estate 241<=X<4 2 male single co applicant 2 life insurance 291<=X<4 4 female div/de none 4 car 40<1 3 male single co applicant 4 no known property 36>=7 4 male single none 2 car 28<1 3 male single none 2 no known property 274<=X<7 2 male single none 3 life insurance 364<=X<7 3 male single none 3 car 381<=X<4 2 male div/sep none 4 no known property 48>=7 4 male single none 4 real estate 36unemployed 4 female div/de none 4 car 654<=X<7 3 male div/sep none 3 car 43<1 4 female div/de none 4 life insurance 534<=X<7 4 male single none 3 no known property 341<=X<4 2 male single none 2 car 23>=7 4 male single none 4 car 34<1 3 male single guarantor 4 real estate 40>=7 4 male single none 4 car 43>=7 4 male single none 4 car 461<=X<4 4 male single none 4 life insurance 381<=X<4 3 male single none 4 car 341<=X<4 4 male single none 3 life insurance 294<=X<7 3 male single none 2 car 31<1 4 female div/de none 4 life insurance 284<=X<7 3 female div/de none 2 life insurance 354<=X<7 1 female div/de none 4 real estate 331<=X<4 2 male single co applicant 3 car 42>=7 2 male single guarantor 4 life insurance 43<1 2 male div/sep none 4 real estate 44>=7 2 male single none 4 no known property 421<=X<4 4 male mar/wid none 2 real estate 40>=7 4 male single none 1 real estate 361<=X<4 2 male single none 2 real estate 204<=X<7 2 male single co applicant 2 real estate 241<=X<4 2 male mar/wid none 2 car 27<1 1 female div/de none 2 life insurance 461<=X<4 1 female div/de none 2 real estate 331<=X<4 4 female div/de none 4 real estate 34<1 2 female div/de none 4 car 25>=7 2 female div/de none 4 car 25>=7 1 male div/sep none 2 real estate 281<=X<4 4 male single none 2 life insurance 311<=X<4 1 female div/de none 2 life insurance 321<=X<4 1 male single co applicant 2 real estate 32>=7 1 male single none 4 no known property 68unemployed 1 male div/sep none 1 life insurance 33>=7 4 male single none 2 life insurance 391<=X<4 4 female div/de none 2 no known property 284<=X<7 4 male single none 1 car 37<1 3 female div/de none 4 life insurance 224<=X<7 3 male single none 4 life insurance 30<1 2 male div/sep none 1 life insurance 55<1 4 male single none 2 car 46<1 4 female div/de none 4 life insurance 214<=X<7 4 male single none 4 no known property 39>=7 4 male single none 4 car 58

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>=7 4 male single none 4 car 344<=X<7 2 male mar/wid none 4 car 23unemployed 4 male single none 3 life insurance 30>=7 4 male single none 3 car 504<=X<7 3 female div/de none 4 real estate 311<=X<4 4 male div/sep none 4 life insurance 40>=7 4 male single none 4 car 381<=X<4 4 male single none 4 no known property 23unemployed 3 male single none 4 car 27

other_paymhousing existing_crejob num_dependown_teleph foreign_worclassnone own 2 skilled 1 yes yes goodnone own 1 skilled 1 none yes badnone own 1 unskilled resi 2 none yes goodnone for free 1 skilled 2 none yes goodnone for free 2 skilled 2 none yes badnone for free 1 unskilled resi 2 yes yes goodnone own 1 skilled 1 none yes goodnone rent 1 high qualif/s 1 yes yes goodnone own 1 unskilled resi 1 none yes goodnone own 2 high qualif/s 1 none yes badnone rent 1 skilled 1 none yes badnone rent 1 skilled 1 none yes badnone own 1 skilled 1 yes yes goodnone own 2 unskilled resi 1 none yes badnone rent 1 skilled 1 none yes goodnone own 1 unskilled resi 1 none yes badnone own 2 skilled 1 none yes goodbank own 3 skilled 1 none yes goodnone for free 1 high qualif/s 1 yes yes badnone own 1 skilled 2 yes yes goodnone own 3 skilled 1 yes yes goodnone rent 1 skilled 2 none yes goodnone rent 2 unskilled resi 2 none no goodnone own 1 skilled 1 none yes goodnone own 2 skilled 1 none no goodbank own 1 unskilled resi 1 yes yes goodnone own 1 unskilled resi 1 none yes goodnone rent 2 skilled 1 none yes goodnone own 1 skilled 1 none yes goodnone own 2 skilled 1 yes yes badbank own 1 skilled 1 yes yes goodstores own 1 skilled 1 none yes goodnone own 2 skilled 1 yes yes goodnone rent 1 unskilled resi 1 none yes goodbank own 1 high qualif/s 1 yes yes goodnone own 2 unskilled resi 1 none yes badbank for free 1 skilled 1 yes yes goodstores own 1 skilled 1 none yes badnone own 1 skilled 1 yes yes goodnone own 1 skilled 1 none yes goodbank own 1 high qualif/s 1 none yes goodnone own 1 skilled 1 yes yes goodnone own 1 unskilled resi 2 yes yes goodnone rent 2 skilled 1 none yes goodstores for free 2 unskilled resi 1 none yes badnone own 2 high qualif/s 1 none yes goodnone own 1 skilled 1 none yes goodnone rent 1 unemp/unskill 1 yes yes goodnone own 2 unskilled resi 1 none yes goodnone own 1 skilled 1 none yes goodbank own 1 unskilled resi 1 none yes goodnone own 2 high qualif/s 1 yes yes goodnone own 1 skilled 1 none yes goodnone own 1 skilled 1 yes yes goodbank for free 2 skilled 1 yes yes badstores own 1 unskilled resi 2 none yes goodnone own 1 high qualif/s 1 yes yes badstores own 2 skilled 1 none yes goodnone own 1 high qualif/s 1 none yes goodnone rent 2 unskilled resi 1 yes yes badbank own 1 skilled 1 yes yes good

none own 2 skilled 1 yes yes goodnone for free 1 high qualif/s 1 yes yes badnone own 1 skilled 1 yes yes badnone own 1 skilled 1 yes yes goodnone own 4 skilled 2 yes yes goodbank own 1 skilled 1 none yes goodnone own 1 skilled 1 none yes goodstores for free 1 skilled 1 yes yes badnone own 1 skilled 1 none yes goodbank own 1 skilled 1 none yes goodnone rent 2 unskilled resi 1 yes yes goodbank for free 2 high qualif/s 2 yes yes goodbank own 2 unskilled resi 1 none yes goodnone own 1 high qualif/s 1 yes yes badnone for free 2 high qualif/s 1 none yes goodnone own 1 skilled 1 none yes badnone own 1 skilled 1 none yes goodnone own 1 unskilled resi 2 none yes goodnone own 1 skilled 1 none yes goodnone own 2 skilled 1 yes yes badstores own 1 skilled 1 yes yes goodnone rent 1 unskilled resi 1 none yes goodnone own 1 unskilled resi 1 yes yes goodnone own 1 unskilled resi 1 none yes goodnone own 2 high qualif/s 1 yes yes goodnone own 2 skilled 1 none yes goodnone for free 1 skilled 2 yes yes badnone own 1 high qualif/s 2 yes yes goodnone own 2 skilled 1 none yes badnone own 1 skilled 1 none yes goodnone own 1 skilled 1 none yes goodbank own 1 unskilled resi 2 none yes badnone rent 2 skilled 1 none yes goodnone own 1 skilled 1 yes yes goodnone rent 1 skilled 1 yes yes badnone own 1 skilled 1 none yes goodnone own 1 skilled 1 none yes goodnone own 1 skilled 1 none yes goodbank rent 2 high qualif/s 2 yes yes goodnone rent 1 unskilled resi 1 none yes goodnone rent 1 skilled 1 none yes goodnone own 1 skilled 1 none yes goodnone rent 1 skilled 1 yes yes goodnone rent 1 skilled 1 yes yes goodnone own 2 high qualif/s 2 yes yes badbank own 2 high qualif/s 2 yes yes badnone own 1 skilled 1 none yes goodnone own 1 skilled 1 yes no goodnone own 1 skilled 1 yes yes goodbank own 2 skilled 2 none yes goodnone rent 1 skilled 1 yes yes goodnone rent 1 unskilled resi 1 none yes goodstores own 2 skilled 1 yes yes badnone own 1 skilled 1 none yes goodnone own 1 skilled 1 yes yes goodnone own 1 high qualif/s 1 yes yes badnone rent 2 skilled 1 none no goodnone own 2 skilled 1 none yes badnone own 1 high qualif/s 1 yes yes goodnone own 2 skilled 1 yes yes badnone rent 2 high qualif/s 1 yes yes goodnone rent 1 unskilled resi 1 none yes good

none for free 2 skilled 1 yes yes goodnone rent 1 skilled 1 none yes badnone own 2 skilled 1 none yes goodnone own 1 unskilled resi 1 none yes goodnone own 1 skilled 1 none yes badnone own 2 high qualif/s 1 yes yes goodnone own 2 skilled 1 none yes badnone own 1 skilled 1 none yes goodstores own 1 skilled 1 yes yes badbank own 2 unskilled resi 1 none yes goodbank for free 2 skilled 1 none yes goodnone own 1 skilled 1 yes yes goodnone own 2 skilled 1 yes yes goodnone own 2 skilled 1 none yes goodnone own 1 unskilled resi 1 none yes badbank own 3 skilled 1 yes yes goodnone rent 1 unskilled resi 1 yes yes goodnone own 1 unemp/unskill 1 none no goodnone own 1 high qualif/s 1 yes yes goodnone own 1 high qualif/s 1 none yes goodnone own 1 skilled 1 none yes badnone own 1 skilled 1 yes yes goodnone own 1 skilled 1 none yes goodnone own 2 skilled 1 yes yes goodnone own 2 skilled 1 yes yes goodnone own 2 skilled 1 none yes goodnone own 2 skilled 1 none yes goodbank for free 1 skilled 2 yes yes goodnone own 1 skilled 1 yes no goodnone own 1 skilled 1 none yes goodnone rent 1 skilled 1 none yes goodnone rent 1 high qualif/s 1 yes yes goodnone rent 1 skilled 1 none yes badnone own 2 skilled 2 none no goodbank own 1 unskilled resi 1 none yes goodbank own 2 skilled 1 yes yes goodnone own 2 unskilled resi 2 none yes goodnone own 1 skilled 2 yes yes goodnone own 2 skilled 1 none yes goodnone own 2 skilled 1 yes yes goodbank for free 1 high qualif/s 1 yes yes goodnone own 1 skilled 1 none yes goodnone own 1 skilled 1 yes yes goodnone own 1 skilled 1 none yes badnone own 1 skilled 1 none yes goodnone rent 1 skilled 1 yes yes goodnone own 2 skilled 1 yes yes badnone rent 2 skilled 2 none yes badnone own 1 skilled 1 yes yes goodnone own 1 high qualif/s 1 yes yes badnone own 1 skilled 1 none no goodnone own 2 skilled 1 none yes badbank own 1 high qualif/s 1 yes yes badnone own 1 skilled 1 none yes goodnone own 2 skilled 1 none yes goodnone rent 2 high qualif/s 2 yes yes goodnone own 2 skilled 1 none yes goodnone own 2 skilled 1 none yes badstores own 2 high qualif/s 1 yes yes badnone own 2 unskilled resi 2 none yes badnone own 1 skilled 1 yes yes goodbank own 1 skilled 2 yes yes bad

none own 2 skilled 1 none yes goodbank for free 1 high qualif/s 2 yes yes badnone for free 3 unemp/unskill 1 yes yes goodnone own 1 skilled 1 none yes badbank own 2 skilled 1 yes yes goodnone own 3 high qualif/s 1 yes yes badnone for free 1 unskilled resi 2 none yes badnone own 1 skilled 2 yes yes badnone rent 1 skilled 1 none yes goodnone rent 1 skilled 1 none yes badnone own 2 high qualif/s 1 yes yes badnone own 2 skilled 1 yes yes goodbank rent 4 skilled 1 none yes badbank for free 1 skilled 1 yes yes goodnone own 1 high qualif/s 1 yes yes badnone own 2 skilled 1 yes yes goodnone own 1 unskilled resi 1 none yes goodnone own 2 skilled 1 none yes goodnone rent 1 skilled 1 none yes badnone own 2 unskilled resi 2 none yes goodnone for free 3 high qualif/s 2 yes yes goodnone own 3 skilled 1 yes yes goodnone own 1 skilled 1 none yes goodstores own 1 unskilled resi 1 none yes goodnone own 1 skilled 1 none no goodnone own 2 skilled 2 none yes goodnone own 1 unskilled resi 1 yes yes goodstores own 2 skilled 1 yes yes badnone own 1 high qualif/s 1 yes yes badnone own 1 skilled 1 yes yes goodnone own 2 unskilled resi 1 none yes goodbank own 1 skilled 1 yes yes goodnone own 1 skilled 1 yes yes goodnone rent 1 unskilled resi 1 none yes goodnone own 1 skilled 1 yes yes goodbank own 1 unskilled resi 1 none yes goodbank rent 1 skilled 1 yes yes goodbank own 2 skilled 1 none yes goodnone own 2 skilled 2 yes yes goodnone own 1 skilled 1 yes yes goodnone own 2 skilled 1 none yes goodbank own 2 skilled 1 yes yes badnone for free 1 high qualif/s 1 yes yes badnone own 1 skilled 1 none yes badbank for free 1 skilled 1 none yes goodnone own 1 skilled 1 none yes badnone for free 1 unskilled resi 1 none yes goodnone own 1 skilled 1 none yes goodnone own 1 unskilled resi 1 none yes goodnone own 3 unskilled resi 2 none yes goodstores own 1 high qualif/s 2 none yes badnone own 1 unemp/unskill 1 yes yes badbank rent 2 unskilled resi 1 none yes badnone own 2 skilled 1 none yes goodnone own 1 skilled 2 none yes goodbank own 1 skilled 1 none yes badnone own 1 skilled 2 none yes goodnone for free 2 skilled 2 none yes badnone own 2 skilled 1 none yes goodnone own 1 unskilled resi 2 none yes goodnone own 1 skilled 1 yes yes goodnone own 3 skilled 1 none yes good

bank rent 1 skilled 1 none no goodnone own 1 skilled 1 none yes goodnone rent 1 skilled 1 none yes badnone own 2 unskilled resi 1 yes yes goodnone own 1 unskilled resi 1 none yes goodbank own 1 skilled 1 none yes badnone own 2 skilled 1 none yes goodnone own 1 skilled 1 yes yes goodnone own 1 unskilled resi 1 none yes goodnone own 2 unskilled resi 1 none yes goodnone for free 1 skilled 1 none yes badnone own 1 skilled 1 yes yes goodnone own 3 unskilled resi 1 none yes goodnone own 1 skilled 1 none yes goodnone own 1 skilled 1 none yes goodnone for free 3 high qualif/s 1 yes yes goodbank for free 3 unskilled resi 1 none yes goodnone own 2 unskilled resi 2 none no goodnone own 1 skilled 2 none yes badnone own 2 skilled 1 none yes goodstores own 1 skilled 1 yes yes goodnone own 1 high qualif/s 1 yes no badnone own 2 skilled 1 none yes goodnone own 1 skilled 1 none no goodnone rent 1 skilled 1 yes yes goodnone for free 1 high qualif/s 1 yes yes goodnone own 2 skilled 1 none yes badnone own 1 unskilled resi 1 yes yes badnone own 1 skilled 2 none yes goodnone own 2 skilled 1 none yes goodnone own 1 unskilled resi 1 yes yes goodnone own 1 skilled 1 none yes badnone rent 1 high qualif/s 1 yes yes goodnone rent 2 skilled 1 yes yes goodnone own 1 skilled 1 none yes goodbank own 1 unskilled resi 1 none yes goodnone own 1 skilled 1 none yes goodnone own 1 skilled 1 yes yes goodnone own 1 unskilled resi 1 yes yes goodnone own 1 skilled 2 none yes goodnone for free 1 high qualif/s 1 yes yes goodnone own 2 skilled 1 yes yes goodstores own 1 skilled 1 none yes badnone own 1 skilled 1 yes no goodnone rent 1 high qualif/s 1 yes yes badnone for free 2 high qualif/s 2 yes yes goodnone for free 1 skilled 1 none yes goodbank own 2 high qualif/s 2 none yes goodnone own 1 skilled 1 yes yes badnone rent 1 skilled 1 none yes goodnone own 1 unskilled resi 1 none no goodnone own 1 skilled 1 yes yes goodnone own 2 skilled 1 yes yes goodnone own 1 unemp/unskill 1 yes yes goodnone own 1 skilled 1 yes yes badbank own 2 unskilled resi 2 none yes badnone own 2 skilled 1 yes yes goodbank for free 1 skilled 1 none yes badnone own 1 skilled 1 none yes goodstores rent 1 unskilled resi 1 none yes goodnone own 1 unskilled resi 1 yes yes badnone own 1 skilled 1 none yes bad

none rent 1 unskilled resi 1 none yes goodbank for free 1 unemp/unskill 1 yes yes goodstores own 1 skilled 1 none yes goodnone own 1 skilled 1 none yes goodbank own 1 unskilled resi 1 none yes badnone own 1 unskilled resi 2 none no goodbank own 1 skilled 1 none yes badnone own 1 unskilled resi 2 none yes goodnone own 1 unskilled resi 1 yes yes goodnone own 2 skilled 1 none yes goodnone own 2 unskilled resi 1 none yes goodnone own 2 high qualif/s 1 none yes badnone own 1 skilled 1 none yes badnone for free 1 high qualif/s 1 yes yes goodnone own 1 skilled 1 none yes goodnone own 2 skilled 1 none yes goodnone own 2 unskilled resi 1 none no goodnone rent 1 skilled 1 yes yes goodnone own 1 skilled 2 yes yes goodnone own 1 skilled 1 none yes goodnone own 1 skilled 2 none yes goodnone for free 2 high qualif/s 1 yes yes goodnone own 2 skilled 1 none yes badnone own 1 high qualif/s 1 none yes badbank rent 2 unskilled resi 1 none yes badbank rent 2 skilled 2 none yes badnone rent 1 high qualif/s 1 yes yes badnone own 1 unskilled resi 1 none yes goodnone rent 1 skilled 1 none yes badnone own 1 skilled 1 none yes goodnone own 1 unskilled resi 1 none yes goodnone for free 2 skilled 1 yes yes goodnone rent 1 unskilled resi 1 none yes goodnone rent 1 skilled 1 none yes goodbank own 1 high qualif/s 1 yes yes goodnone own 1 unskilled resi 2 none yes goodnone own 1 unskilled resi 1 none yes goodnone own 2 skilled 1 none yes goodnone rent 1 unemp/unskill 1 none yes goodnone own 2 unskilled resi 1 none yes goodnone for free 2 skilled 2 none yes badnone rent 1 skilled 1 yes yes goodnone own 1 skilled 1 none no badnone own 1 high qualif/s 1 yes yes goodnone rent 2 skilled 1 yes yes badnone for free 1 skilled 1 yes yes goodstores own 1 unskilled resi 1 none yes badnone own 1 skilled 1 yes yes goodnone own 2 high qualif/s 1 yes yes badnone own 1 skilled 1 none yes goodnone rent 1 skilled 1 none yes badnone for free 1 skilled 1 none yes goodnone own 1 high qualif/s 1 none yes goodstores own 2 skilled 1 yes yes goodnone rent 1 skilled 1 none yes goodnone own 1 unemp/unskill 1 none yes badnone own 1 skilled 1 yes yes goodnone own 2 skilled 1 none yes goodnone rent 1 skilled 1 none yes goodnone own 1 skilled 2 none yes badnone rent 1 skilled 1 none yes goodnone own 1 skilled 1 none yes good

none own 2 skilled 1 yes yes goodnone rent 2 skilled 1 none yes goodbank for free 1 high qualif/s 1 yes yes goodbank for free 2 high qualif/s 1 yes yes badnone rent 1 skilled 1 none yes badnone own 2 skilled 1 none yes goodnone for free 1 skilled 1 none yes goodnone for free 1 high qualif/s 1 yes yes badnone own 2 unskilled resi 1 none yes goodnone own 1 skilled 1 yes yes goodnone for free 1 high qualif/s 1 yes yes badnone rent 1 skilled 1 none yes goodnone own 1 skilled 1 none yes goodnone own 2 unskilled resi 1 none yes goodnone own 2 skilled 1 none yes goodnone rent 1 skilled 1 yes yes goodstores own 2 high qualif/s 1 yes yes goodbank own 1 skilled 1 none yes goodnone own 2 skilled 1 none yes goodnone own 1 high qualif/s 1 yes yes goodnone rent 1 unskilled resi 1 none yes goodbank for free 1 high qualif/s 2 yes yes goodnone own 1 skilled 1 none yes goodnone own 1 high qualif/s 1 none yes goodnone rent 1 skilled 1 yes yes goodnone for free 1 high qualif/s 1 none yes goodnone own 2 skilled 1 yes yes goodnone rent 2 skilled 1 none yes badnone own 2 unskilled resi 1 none yes goodnone own 1 skilled 1 yes yes goodbank own 2 skilled 1 none yes goodbank own 2 skilled 1 yes yes badnone own 2 unskilled resi 1 none yes goodnone own 1 skilled 2 none yes goodnone own 1 skilled 1 yes yes badnone own 2 skilled 2 yes yes goodnone own 1 skilled 1 none no goodnone own 1 high qualif/s 1 yes yes goodnone own 3 skilled 1 yes yes badnone own 1 skilled 1 yes yes goodnone own 2 high qualif/s 1 yes yes goodstores own 2 high qualif/s 1 yes yes badnone rent 1 unskilled resi 2 none no goodnone own 1 skilled 1 none yes badnone own 2 skilled 2 yes yes goodnone own 1 unskilled resi 2 none yes badnone rent 2 skilled 1 yes yes goodbank own 1 high qualif/s 1 none yes goodnone own 1 skilled 1 none yes badnone rent 1 skilled 1 none yes goodnone own 1 skilled 1 none yes goodnone own 2 unskilled resi 2 none yes goodnone own 2 high qualif/s 1 none yes goodbank own 1 skilled 1 yes yes badnone rent 1 skilled 1 yes yes goodnone own 2 skilled 1 none yes goodnone own 2 skilled 1 none yes goodnone own 1 skilled 1 none yes goodnone for free 3 unemp/unskill 2 none yes badnone own 1 unskilled resi 1 none yes goodbank own 2 high qualif/s 1 yes yes badnone for free 3 high qualif/s 1 yes yes good

none own 2 skilled 1 yes yes goodnone own 1 skilled 1 none yes goodnone own 1 skilled 1 yes yes badnone rent 1 unskilled resi 1 none yes goodnone own 2 skilled 1 yes yes goodnone own 2 unemp/unskill 1 none yes goodnone own 1 unemp/unskill 1 none yes badnone own 1 high qualif/s 1 yes yes goodnone own 1 skilled 1 none yes goodbank own 2 skilled 1 yes yes goodbank own 1 unskilled resi 2 none yes badnone own 1 high qualif/s 1 yes yes badnone rent 2 unskilled resi 1 none yes goodnone own 1 skilled 1 yes yes badnone own 1 skilled 1 none yes goodnone own 1 high qualif/s 1 yes yes goodstores own 2 skilled 1 none yes badnone own 1 high qualif/s 1 yes yes goodnone own 1 skilled 1 none yes goodnone own 2 skilled 1 none yes goodnone own 1 high qualif/s 1 yes yes goodnone own 1 skilled 1 yes yes badnone own 1 high qualif/s 1 yes yes goodnone rent 2 skilled 2 none yes goodnone for free 1 skilled 1 yes yes badnone own 1 skilled 1 none yes goodnone own 1 skilled 1 yes yes goodnone own 1 skilled 2 none yes goodnone own 1 skilled 1 none yes goodnone rent 1 high qualif/s 1 none yes goodnone own 2 skilled 1 none yes goodstores own 2 skilled 1 yes yes goodbank own 1 skilled 2 yes yes goodnone rent 1 unskilled resi 1 yes yes badbank own 2 skilled 2 none yes goodnone own 2 skilled 1 yes yes goodnone own 2 unskilled resi 1 yes yes goodnone rent 1 skilled 1 yes yes badnone own 1 skilled 1 none yes badnone own 1 unskilled resi 1 none yes badnone own 1 high qualif/s 2 yes yes goodnone own 1 skilled 1 none yes badnone rent 1 skilled 1 none yes badnone own 1 skilled 1 none yes goodbank own 1 skilled 1 none yes goodnone own 1 unskilled resi 1 none yes goodnone own 2 skilled 2 yes yes goodnone own 1 unskilled resi 1 none yes goodnone own 1 skilled 1 none yes goodnone rent 2 skilled 1 yes yes goodnone own 2 skilled 1 none yes goodnone own 1 skilled 1 yes yes goodnone own 1 high qualif/s 1 yes yes badnone own 1 skilled 1 yes yes goodnone for free 1 skilled 1 yes yes goodnone rent 1 unskilled resi 1 none no goodnone rent 1 skilled 1 none yes goodnone own 2 skilled 1 none yes goodnone for free 2 high qualif/s 1 yes yes badnone own 2 skilled 1 none yes goodnone own 1 skilled 1 none yes goodnone rent 2 unskilled resi 2 none no good

none own 1 skilled 1 none yes badnone rent 1 high qualif/s 1 yes yes badnone own 2 skilled 1 none yes goodnone own 1 unskilled resi 1 none yes goodnone own 2 skilled 2 yes yes goodnone own 1 skilled 1 none yes badnone for free 1 skilled 2 none yes goodnone own 1 skilled 1 none yes goodbank own 2 skilled 2 none yes badnone rent 1 skilled 1 none yes badnone own 1 unskilled resi 1 none yes badnone own 1 skilled 1 yes yes goodnone own 1 high qualif/s 2 yes yes badnone own 1 skilled 1 none yes goodnone own 1 high qualif/s 1 yes yes goodnone own 1 skilled 1 none yes badnone for free 1 high qualif/s 1 yes yes goodnone rent 1 skilled 1 yes yes goodnone rent 2 skilled 1 none yes goodnone own 1 skilled 1 none yes goodnone own 2 skilled 1 none no goodnone own 1 unskilled resi 2 none no goodnone rent 2 skilled 1 yes yes badnone own 1 skilled 1 yes yes goodnone for free 2 skilled 1 none yes goodnone for free 2 skilled 1 none yes goodnone own 1 skilled 1 none yes badnone for free 2 skilled 2 none yes badnone own 1 skilled 1 none yes goodnone own 1 unskilled resi 2 none yes goodnone own 2 skilled 1 none yes goodnone own 1 skilled 1 none yes goodnone own 2 unskilled resi 2 none yes goodnone rent 1 skilled 1 none yes badnone own 1 unskilled resi 2 yes yes goodnone own 2 skilled 2 none yes goodnone rent 2 skilled 1 yes yes badnone rent 1 skilled 1 none yes goodnone own 1 skilled 1 yes yes goodnone own 2 skilled 1 none yes goodnone rent 1 skilled 1 none yes badnone own 1 high qualif/s 1 yes yes goodnone own 1 skilled 1 yes yes goodbank for free 1 high qualif/s 1 none yes badstores own 1 unskilled resi 1 none yes goodnone rent 1 skilled 1 none yes badnone for free 2 skilled 1 yes yes goodnone own 1 skilled 1 none yes badnone own 1 unskilled resi 2 none yes badnone own 2 unskilled resi 1 none yes goodnone for free 2 skilled 2 none yes badnone own 1 skilled 1 yes yes goodbank own 1 skilled 2 none yes goodbank own 1 unskilled resi 1 none yes badnone for free 2 skilled 1 yes yes goodnone own 2 skilled 1 none yes goodbank own 1 unskilled resi 2 none yes goodnone own 2 skilled 1 yes yes badnone own 1 skilled 1 none yes goodnone own 2 high qualif/s 1 yes yes goodstores own 1 skilled 1 none yes badnone own 2 skilled 1 none yes bad

bank own 2 skilled 1 yes yes badbank own 1 skilled 1 none yes badnone own 2 unskilled resi 1 none yes badbank for free 1 skilled 2 yes yes goodbank rent 1 unskilled resi 1 none yes badbank own 1 skilled 1 none yes goodnone for free 1 skilled 1 yes yes badbank own 2 high qualif/s 1 yes yes goodnone rent 2 skilled 1 yes yes goodnone own 1 skilled 1 none yes badnone own 1 skilled 1 none yes goodnone own 2 skilled 2 yes yes goodnone own 1 skilled 1 yes yes badnone rent 1 unskilled resi 1 yes yes badnone own 1 skilled 1 none yes goodnone rent 1 high qualif/s 1 yes yes goodnone own 1 unskilled resi 1 none yes goodnone own 2 unskilled resi 1 none yes goodbank own 2 skilled 1 none yes goodnone own 1 skilled 1 none yes goodnone own 2 skilled 1 yes yes goodnone own 2 skilled 1 none yes badnone own 2 unskilled resi 1 none yes goodbank own 2 skilled 1 none yes badbank own 2 unskilled resi 2 none yes goodnone rent 1 skilled 1 none yes goodnone rent 1 unskilled resi 1 none yes badnone for free 1 high qualif/s 1 yes yes goodbank rent 1 skilled 1 none yes badnone rent 2 skilled 2 none yes goodnone own 1 unskilled resi 1 none yes goodnone own 1 unskilled resi 1 yes yes badnone own 2 skilled 1 none yes badnone own 4 unskilled resi 1 yes yes goodnone rent 2 skilled 1 yes yes goodbank own 1 unskilled resi 1 none yes goodnone rent 1 unskilled resi 1 yes yes badstores own 1 high qualif/s 1 yes yes badstores own 1 unskilled resi 1 none yes badnone rent 2 skilled 1 none yes badnone own 3 unskilled resi 1 yes yes badbank own 2 skilled 1 none yes badnone for free 1 skilled 1 none yes goodnone own 1 skilled 1 none yes goodnone own 1 skilled 1 none yes badbank for free 1 unskilled resi 1 none yes badnone own 1 high qualif/s 1 yes yes badnone own 1 skilled 1 none yes goodstores own 1 skilled 1 yes yes goodnone own 1 high qualif/s 1 yes yes goodnone for free 1 skilled 1 none yes badnone own 1 skilled 1 none yes goodbank for free 1 skilled 2 none yes goodnone own 1 skilled 1 none yes badnone for free 1 unskilled resi 2 none yes badbank own 1 skilled 1 none yes goodbank rent 1 skilled 1 none no goodnone own 1 skilled 1 none yes badbank own 1 high qualif/s 1 yes yes goodnone for free 1 high qualif/s 1 none yes goodnone rent 3 skilled 2 none yes goodnone rent 1 skilled 1 none yes bad

none own 1 unskilled resi 1 none yes goodnone own 2 skilled 1 none yes goodbank own 2 skilled 1 none yes badbank own 1 skilled 1 none yes badnone rent 1 skilled 1 none yes goodnone for free 2 skilled 1 none yes badnone own 1 skilled 1 none yes goodnone own 1 skilled 1 yes yes goodnone own 1 skilled 1 none yes badnone own 2 skilled 1 yes yes goodnone own 1 unskilled resi 1 none yes goodnone own 1 skilled 1 none yes goodbank own 1 skilled 1 none yes badnone own 1 skilled 1 none yes goodnone rent 2 skilled 1 none yes badnone own 1 unskilled resi 1 yes yes badbank own 3 skilled 2 yes yes goodnone own 1 skilled 1 none yes goodnone own 2 skilled 1 yes yes goodnone own 1 skilled 2 none yes goodbank own 2 skilled 2 yes yes badnone own 1 unemp/unskill 1 none yes badnone own 2 unskilled resi 1 none yes goodnone own 1 high qualif/s 1 yes yes badnone own 2 skilled 1 yes yes goodnone own 2 high qualif/s 1 yes yes goodnone rent 2 skilled 1 yes yes badnone own 2 skilled 1 none yes goodnone own 1 skilled 1 none yes badbank for free 1 skilled 2 none yes badnone rent 1 unskilled resi 2 none yes badnone for free 1 high qualif/s 1 yes yes goodnone own 1 unskilled resi 1 none yes badnone own 1 skilled 1 none yes badnone own 4 high qualif/s 1 yes yes badnone own 2 skilled 1 yes yes goodnone for free 1 skilled 1 none yes goodbank own 1 unskilled resi 2 none yes badstores own 1 skilled 1 yes yes goodnone own 2 skilled 1 none yes goodnone own 1 skilled 1 yes yes goodnone rent 1 skilled 1 none yes goodnone own 1 skilled 1 none yes badnone own 2 skilled 1 none yes goodstores own 2 high qualif/s 1 yes yes goodnone own 1 unskilled resi 1 none yes goodbank own 2 high qualif/s 1 yes yes goodstores own 1 skilled 2 yes yes goodstores own 1 skilled 1 none yes goodnone rent 2 skilled 1 yes yes badnone own 1 skilled 1 none yes goodnone own 2 unskilled resi 1 yes yes goodnone own 2 skilled 1 yes yes goodnone own 1 high qualif/s 1 yes yes goodnone own 1 skilled 1 none yes goodbank own 1 unskilled resi 2 none yes badnone rent 1 high qualif/s 1 yes yes goodnone own 1 skilled 1 yes yes goodnone own 1 skilled 1 none yes badbank rent 1 unskilled resi 1 none yes goodnone own 1 skilled 1 none yes goodnone own 1 skilled 1 none yes good

none for free 1 skilled 1 yes yes goodbank own 2 skilled 1 none yes goodnone for free 3 skilled 1 yes yes goodnone own 2 unskilled resi 2 yes yes goodnone for free 1 skilled 2 yes yes goodnone own 2 skilled 1 yes yes goodnone for free 1 skilled 1 none yes goodnone own 1 skilled 1 yes yes goodnone own 1 skilled 2 none yes goodnone own 2 skilled 1 none yes goodnone own 1 unskilled resi 1 none yes goodnone own 1 skilled 1 none yes goodnone own 2 unskilled resi 2 none yes goodnone own 1 skilled 1 yes yes goodnone rent 1 skilled 1 none yes goodnone own 2 skilled 1 none no goodnone own 1 unemp/unskill 1 none yes goodnone own 2 skilled 1 none yes goodnone rent 1 high qualif/s 1 yes yes goodnone rent 1 unskilled resi 1 none yes badnone for free 2 skilled 1 yes yes badnone for free 1 skilled 1 yes yes goodstores own 2 skilled 1 none yes goodnone own 1 skilled 2 yes yes goodnone for free 1 skilled 1 none yes goodnone own 1 skilled 1 none yes badnone rent 2 skilled 1 none yes badnone own 1 skilled 1 none yes goodnone own 1 unskilled resi 2 none yes goodbank own 2 high qualif/s 1 yes yes goodnone for free 1 skilled 1 none yes badnone own 1 high qualif/s 1 yes yes goodnone own 2 unskilled resi 1 none yes goodnone own 1 high qualif/s 1 yes yes badnone own 2 skilled 1 none yes goodnone own 2 skilled 2 yes yes goodnone for free 1 high qualif/s 1 yes yes goodnone own 2 skilled 1 yes yes goodbank own 2 skilled 1 yes yes goodnone own 2 high qualif/s 1 yes yes badbank rent 1 skilled 2 none yes badnone own 1 unskilled resi 1 none yes badnone own 1 unskilled resi 1 none yes goodnone rent 1 skilled 1 none yes badbank own 2 unskilled resi 1 none yes goodnone own 2 unskilled resi 1 none yes goodbank rent 2 skilled 1 none yes badnone rent 1 skilled 1 none yes badnone own 2 skilled 1 yes yes goodnone own 1 skilled 1 none yes goodnone rent 1 unskilled resi 2 none yes badnone own 1 unskilled resi 1 none yes goodnone rent 1 skilled 1 yes yes goodnone own 1 skilled 2 none yes goodbank own 1 unemp/unskill 1 none yes goodnone rent 2 high qualif/s 1 none yes badnone own 1 unskilled resi 2 yes yes goodnone own 2 high qualif/s 2 yes yes goodnone rent 2 unskilled resi 1 none yes badbank own 1 skilled 1 none yes goodstores own 1 unskilled resi 1 none yes goodnone own 1 skilled 1 yes yes good

stores own 1 skilled 1 yes yes goodnone own 2 high qualif/s 1 yes yes goodbank own 2 unskilled resi 1 none yes goodnone rent 1 skilled 1 none yes goodnone own 1 unskilled resi 1 none yes badnone own 1 skilled 1 none yes goodnone own 1 skilled 1 none yes goodbank own 1 skilled 1 yes yes goodnone own 1 unskilled resi 1 none yes badnone rent 1 unskilled resi 1 none yes goodnone own 2 skilled 1 none yes goodnone for free 2 skilled 2 none yes badnone rent 1 skilled 1 none yes badnone own 3 unemp/unskill 2 none no goodnone for free 2 skilled 1 yes yes badnone own 1 skilled 1 yes yes goodnone own 2 skilled 1 none yes badnone own 1 skilled 1 yes yes goodnone rent 2 skilled 1 none yes badnone own 1 unskilled resi 1 none yes goodnone for free 1 high qualif/s 1 yes yes badnone own 2 skilled 1 yes yes goodbank own 2 unskilled resi 1 none yes goodnone own 1 unskilled resi 1 none yes badnone rent 1 skilled 1 none yes goodnone rent 3 skilled 1 yes yes goodnone own 2 unskilled resi 1 yes yes goodnone rent 1 skilled 1 none yes goodnone own 2 high qualif/s 1 yes yes badnone own 1 high qualif/s 1 yes yes goodbank own 2 skilled 1 none yes goodbank for free 3 unemp/unskill 1 none yes goodnone rent 1 skilled 1 none yes badnone own 2 skilled 1 yes yes goodnone own 1 skilled 1 none yes goodnone own 2 high qualif/s 1 yes yes goodnone own 1 skilled 1 yes yes goodnone own 2 skilled 1 none yes badnone own 1 skilled 1 yes yes goodnone own 1 unskilled resi 1 yes yes goodbank own 1 unskilled resi 1 none yes badnone own 1 high qualif/s 1 yes yes goodnone own 1 unskilled resi 1 yes yes goodnone own 1 skilled 1 none yes goodnone own 2 skilled 2 yes yes goodnone for free 1 skilled 1 none yes badbank own 1 skilled 1 yes yes badnone own 1 skilled 2 none yes badnone own 1 high qualif/s 2 yes yes goodnone own 2 skilled 1 none yes goodnone for free 1 skilled 1 none yes goodnone rent 1 skilled 1 yes yes goodnone rent 1 skilled 1 none yes goodnone for free 1 skilled 2 yes yes badnone rent 2 unskilled resi 1 none yes goodnone own 2 skilled 1 yes yes goodnone own 1 unemp/unskill 1 none yes goodnone for free 2 skilled 2 none yes goodbank rent 2 unskilled resi 1 yes yes goodnone own 2 skilled 1 none yes goodnone own 2 skilled 1 none yes goodnone rent 1 unemp/unskill 1 none yes good

none own 1 skilled 1 yes yes badnone own 1 unskilled resi 1 none no goodnone own 4 skilled 1 none yes goodbank for free 1 high qualif/s 1 yes yes goodnone rent 2 unemp/unskill 1 none yes badnone own 1 skilled 1 yes yes goodbank own 1 unskilled resi 1 none yes goodnone own 2 skilled 1 yes yes badnone own 1 skilled 1 none yes badnone for free 1 skilled 2 none yes badnone rent 1 skilled 1 none yes goodnone own 1 skilled 1 none yes goodnone rent 2 skilled 1 yes yes goodnone own 1 high qualif/s 1 none yes goodbank own 1 skilled 1 none yes badnone own 2 skilled 1 yes yes goodnone own 1 skilled 1 none yes goodbank own 1 skilled 2 none yes badnone own 2 unskilled resi 1 none yes goodnone own 2 high qualif/s 1 yes yes goodnone own 2 skilled 1 yes yes goodbank rent 3 skilled 1 yes yes badstores own 2 skilled 2 none yes badnone for free 1 skilled 1 none yes badnone for free 1 skilled 2 yes yes goodnone own 2 skilled 2 yes yes goodnone rent 1 skilled 1 yes yes badnone rent 2 skilled 1 none yes badnone own 1 skilled 1 yes yes goodnone own 1 unskilled resi 1 none yes badbank own 2 skilled 1 none yes badnone own 1 skilled 1 none yes goodnone rent 1 unskilled resi 2 none yes goodnone own 2 skilled 1 yes yes goodnone own 2 skilled 1 none yes goodnone own 1 skilled 1 none yes badstores own 2 unskilled resi 1 none yes goodnone own 1 skilled 1 none yes badbank own 1 skilled 1 yes yes goodbank own 3 skilled 2 yes yes goodnone own 1 skilled 1 yes yes goodnone rent 2 skilled 1 none yes badnone own 1 skilled 1 none yes goodnone own 1 skilled 1 none yes goodstores own 1 unskilled resi 1 none yes badbank rent 2 skilled 1 none no badnone own 2 skilled 1 yes yes goodnone for free 2 skilled 1 yes yes goodnone for free 2 unskilled resi 2 none yes badnone own 2 skilled 2 yes yes goodnone own 1 skilled 1 yes yes goodnone own 1 skilled 1 yes yes goodnone for free 1 skilled 1 yes yes goodnone own 1 skilled 1 yes yes badnone rent 1 skilled 2 none no goodnone own 2 skilled 1 none yes goodnone own 1 skilled 1 yes yes badnone own 1 skilled 1 yes yes badstores own 2 unskilled resi 2 yes yes goodbank rent 1 unskilled resi 1 none yes badnone rent 1 skilled 1 none yes goodstores own 1 skilled 1 none yes good

stores own 1 skilled 1 none yes goodnone own 2 skilled 1 none yes goodnone rent 1 skilled 1 none yes goodnone own 2 skilled 1 yes yes goodnone own 2 skilled 2 none no goodnone own 2 skilled 1 yes yes goodnone own 1 skilled 1 none yes goodnone own 1 unskilled resi 2 none yes goodnone own 2 skilled 1 none yes goodbank for free 1 high qualif/s 1 yes yes goodnone own 1 skilled 1 none yes goodnone for free 1 high qualif/s 1 yes yes badnone own 2 skilled 1 none yes goodnone own 1 high qualif/s 1 yes yes goodnone for free 1 skilled 1 yes yes goodnone own 2 skilled 1 none yes goodnone own 2 unemp/unskill 1 none yes goodnone own 1 skilled 1 yes yes badnone own 1 skilled 1 none yes badnone own 2 skilled 2 yes yes goodnone own 1 skilled 1 yes yes badnone own 2 high qualif/s 1 yes yes goodbank rent 2 skilled 2 yes yes goodstores own 4 high qualif/s 2 yes yes goodnone own 2 skilled 1 yes yes goodbank own 2 unskilled resi 1 none no goodnone own 2 skilled 1 yes yes goodnone own 2 skilled 1 yes yes goodstores own 1 high qualif/s 2 yes yes goodnone rent 1 high qualif/s 1 yes yes goodnone own 1 skilled 1 none no goodbank rent 1 unskilled resi 1 none yes goodnone own 1 skilled 1 none yes badbank rent 1 skilled 1 yes yes badnone own 2 skilled 1 yes yes goodnone for free 2 skilled 1 none yes goodnone rent 1 skilled 1 yes yes goodnone own 1 high qualif/s 1 yes yes goodnone rent 1 high qualif/s 2 yes yes goodnone own 1 unskilled resi 1 none no goodnone own 1 skilled 1 none yes goodnone own 2 unskilled resi 1 none yes goodnone own 1 unskilled resi 1 none yes goodnone own 2 skilled 1 none yes goodbank own 1 unskilled resi 1 none yes badnone own 1 skilled 1 none yes goodnone own 1 skilled 1 yes yes goodnone rent 1 skilled 1 yes yes badbank own 1 high qualif/s 1 yes no badnone own 1 skilled 2 none yes goodbank own 1 high qualif/s 1 yes yes badnone own 1 skilled 1 none yes badnone rent 1 high qualif/s 1 yes yes badnone own 2 skilled 1 none yes goodnone own 1 high qualif/s 1 yes yes goodnone rent 1 skilled 1 none yes badnone rent 1 skilled 2 yes yes goodbank own 1 skilled 1 yes yes badbank own 2 skilled 1 yes yes badnone rent 1 skilled 1 none yes goodstores for free 3 skilled 2 yes yes badnone own 1 skilled 1 yes yes good

none own 2 unskilled resi 2 none yes goodnone own 1 unskilled resi 1 none no goodnone own 1 skilled 1 yes yes badnone own 2 skilled 1 none yes goodnone own 2 skilled 2 yes yes goodbank own 1 skilled 1 none yes goodstores own 2 high qualif/s 1 none yes badnone own 1 unskilled resi 1 none yes badnone rent 1 high qualif/s 1 yes yes goodnone for free 1 skilled 1 none yes badnone own 2 high qualif/s 2 yes yes goodnone own 1 high qualif/s 2 yes yes goodnone own 1 unskilled resi 2 none no goodstores own 1 skilled 1 yes yes goodnone own 3 unskilled resi 2 none yes goodnone rent 1 skilled 1 none yes goodnone own 2 skilled 1 none yes goodnone for free 1 skilled 2 yes yes badnone own 1 high qualif/s 1 yes yes goodnone own 1 unskilled resi 2 none yes badnone own 2 skilled 1 none yes badnone own 3 unemp/unskill 2 yes yes goodnone own 2 skilled 1 yes yes badnone rent 1 skilled 1 none yes badnone own 2 high qualif/s 1 yes yes badnone own 1 skilled 1 yes yes goodnone rent 2 high qualif/s 1 yes yes goodstores own 2 unskilled resi 1 none yes goodnone own 3 unskilled resi 1 none yes goodnone own 1 unskilled resi 1 none yes badnone for free 1 skilled 1 none yes goodnone rent 2 skilled 1 none yes goodnone own 2 skilled 1 none yes goodnone own 1 skilled 1 none yes goodbank own 2 skilled 1 yes yes badnone own 1 unskilled resi 1 none yes goodnone own 1 skilled 1 none yes goodnone own 2 unskilled resi 1 none yes badbank rent 1 high qualif/s 1 yes yes goodnone rent 1 skilled 1 yes yes goodnone own 2 unskilled resi 2 none yes goodnone own 1 skilled 1 none yes goodnone own 1 unskilled resi 2 none yes goodnone rent 2 unemp/unskill 1 none yes badnone rent 1 skilled 1 none yes badnone own 1 skilled 1 yes yes goodnone own 1 unskilled resi 1 none yes goodnone own 1 skilled 1 none yes goodnone own 2 skilled 1 none yes goodnone own 2 unskilled resi 2 none yes badnone rent 1 skilled 1 none yes badnone own 1 skilled 1 none yes badbank rent 1 high qualif/s 1 yes yes badbank own 1 high qualif/s 1 yes yes goodnone own 1 skilled 2 none yes badnone own 2 unskilled resi 1 none yes goodnone rent 2 skilled 1 none yes goodnone own 2 skilled 1 none yes goodnone own 1 skilled 1 none yes goodnone for free 1 high qualif/s 1 yes yes goodnone own 2 unskilled resi 1 none yes goodnone own 2 unskilled resi 2 none yes good

bank own 1 unskilled resi 2 none yes goodnone rent 2 unskilled resi 1 none yes goodnone own 1 high qualif/s 1 yes yes goodnone own 1 skilled 1 yes yes goodnone own 1 unskilled resi 1 none yes goodnone own 1 high qualif/s 1 yes yes goodnone own 1 skilled 1 none yes goodnone for free 1 skilled 1 yes yes badnone own 1 skilled 1 none yes good

Tableau de contingenceNB housing jobhousing high qualif/self emp/mgm skilled unemp/unskilled non resfor free 33 63 4own 94 452 13rent 21 115 5Total 148 630 22

Tableau sous hypothèse d'indépendanceNB housing jobhousing high qualif/self emp/mgm skilled unemp/unskilled non resfor free 15.98 68.04 2.38own 105.52 449.19 15.69rent 26.49 112.77 3.94Total 148 630 22

Tableau des résidusNB housing jobhousing high qualif/self emp/mgm skilled unemp/unskilled non resfor free 17.02 -5.04 1.62own -11.52 2.81 -2.69rent -5.49 2.23 1.06

Tableau des résidus standardisésNB housing jobhousing high qualif/self emp/mgm skilled unemp/unskilled non resfor free 4.26 -0.61 1.05own -1.12 0.13 -0.68rent -1.07 0.21 0.54

Tableau des résidus ajustésNB housing jobhousing high qualif/self emp/mgm skilled unemp/unskilled non resfor free 4.88 -1.06 1.13own -2.27 0.41 -1.28rent -1.28 0.38 0.60

Tableau de calcul du KHI-2NB housing jobhousing high qualif/self emp/mgm skilled unemp/unskilled non resfor free 18.11 0.37 1.11own 1.26 0.02 0.46rent 1.14 0.04 0.29

Tableau des contributionsNB housing jobhousing high qualif/self emp/mgm skilled unemp/unskilled non resfor free 55.9% -1.2% 3.4%own -3.9% 0.1% -1.4%rent -3.5% 0.1% 0.9%

KHI-2 32.41DDL 6p-value 0.00001

Mesure Valeur Valeur Maxphi 0.1800 1.4142V de Cramer 0.1273 1.0000T de Tschuprow 0.1150 0.9036C 0.1772 0.8165C* 0.2170 1.0000

Tableau de contingence

unskilled resident Total8 108

154 71338 179

200 1000

Tableau sous hypothèse d'indépendance

unskilled resident Total21.60 108

142.60 71335.80 179

200 1000

Tableau des résidus

unskilled resident-13.6011.40

2.20

Tableau des résidus standardisés

unskilled resident-2.930.950.37

Tableau des résidus ajustés

unskilled resident-3.461.990.45

Tableau de calcul du KHI-2

unskilled resident8.560.910.14

Tableau des contributions

unskilled resident-26.4%

2.8%0.4%

Tableau de contingenceNB housing jobhousing high qualif/self emp/mgm skilledfor free 33 63own 94 452rent 21 115Total 148 630

Tableau sous hypothèse d'indépendanceNB housing jobhousing high qualif/self emp/mgm skilledfor free 15.98 68.04own 105.52 449.19rent 26.49 112.77Total 148 630

Tableau calcul - Rapport de vraisemblanceNB housing jobhousing high qualif/self emp/mgm skilledfor free 23.92 -4.85own -10.87 2.82rent -4.88 2.25

Somme 15.40G 30.7903DDL 6p-value 0.00003

Tableau des fréquencesNB housing jobhousing high qualif/self emp/mgm skilledfor free 0.033 0.063own 0.094 0.452rent 0.021 0.115Total 0.148 0.63

Tableau calcul - Information mutuelleNB housing jobhousing high qualif/self emp/mgm skilledfor free 0.035 -0.007own -0.016 0.004rent -0.007 0.003

Somme 0.0222G' 30.7903DDL 6p-value 0.000028

Tableau de contingence

unemp/unskilled non res unskilled resident Total4 8 108

13 154 7135 38 179

22 200 1000

Tableau sous hypothèse d'indépendance

unemp/unskilled non res unskilled resident Total2.38 21.60 108

15.69 142.60 7133.94 35.80 179

22 200 1000

Tableau calcul - Rapport de vraisemblance

unemp/unskilled non res unskilled resident2.08 -7.95

-2.44 11.841.19 2.27

Tableau des fréquences

unemp/unskilled non res unskilled resident Total0.004 0.008 0.1080.013 0.154 0.7130.005 0.038 0.1790.022 0.2 1

Tableau calcul - Information mutuelle

unemp/unskilled non res unskilled resident0.003 -0.011

-0.004 0.0170.002 0.003

Aclass all paid critical/other existing delayed previouslygood 21 243 60bad 28 50 28Total 49 293 88

Bclass all paid critical/other existing delayed previouslygood 0 1 1bad 1 0 0

Cclass all paid critical/other existing delayed previouslygood 0.8899 0.0032 0.0032bad 1.0000 0.0000 0.0000

Dclass all paid critical/other existing delayed previouslygood 18.6874 0.7803 0.1927bad 28.0000 0.0000 0.0000

Lambda 0.056667Variance 0.000933Ecart-type 0.030543u(0.95) 1.64485362695147

Borne basse Borne hauteI.C. à 90% 0.0064 0.1069

Eclass all paid critical/other existing delayed previouslygood 21.0000 0.0000 0.0000bad 28.0000 0.0000 0.0000

Variance (H0) 0.000986Ecart-type (H0) 0.031396z 1.804929p-value 0.035543

Aexisting paid no credits/all paid Total

361 15 700169 25 300530 40 1000

Bexisting paid no credits/all paid Total

1 0 10 1 0

Cexisting paid no credits/all paid

0.0032 0.88990.0000 1.0000

Dexisting paid no credits/all paid

1.1592 13.34820.0000 25.0000

Eexisting paid no credits/all paid

0.0000 15.00000.0000 25.0000

Aclass all paid critical/other existing delayed previouslygood 21 243 60bad 28 50 28Total 49 293 88

Bclass all paid critical/other existing delayed previouslygood 0.429 0.829 0.682bad 0.571 0.171 0.318

Cclass all paid critical/other existing delayed previouslygood 0.245 0.142 0.217bad 0.245 0.142 0.217

DSomme 0.490 0.283 0.434Poids 0.049 0.293 0.088Produit 0.024 0.083 0.038

S(Y) 0.420000S(Y/X) 0.394090

Tau 0.061691

sigma(Tau) 0.015238u(0.95) 1.64485362695147

Borne basse Borne hauteI.C. à 90% 0.0366 0.0868

C(tau) 61.629706DDL 4p-value 1.31798E-12

Aexisting paid no credits/all paid Total

361 15 700169 25 300530 40 1000

Bexisting paid no credits/all paid Total

0.681 0.375 0.7000.319 0.625 0.300

Cexisting paid no credits/all paid Total

0.217 0.234 0.2100.217 0.234 0.210

D0.434 0.469 0.4200.530 0.040 1.0000.230 0.019 0.420

Aclass all paid critical/other existing delayed previouslygood 21 243 60bad 28 50 28Total 49 293 88

Bclass all paid critical/other existing delayed previouslygood 0.429 0.829 0.682bad 0.571 0.171 0.318

Cclass all paid critical/other existing delayed previouslygood -0.363 -0.155 -0.261bad -0.320 -0.302 -0.364

DSomme -0.683 -0.457 -0.625Poids 0.049 0.293 0.088Produit -0.033 -0.134 -0.055

H(Y) 0.610864H(Y/X) 0.580631

U 0.049493

ECalcul H(X) -0.147780814062704 -0.359681722299765 -0.213876824876346

H(X) 1.186580

Fclass all paid critical/other existing delayed previouslygood 0.021 0.243 0.060bad 0.028 0.050 0.028

Gclass all paid critical/other existing delayed previouslygood -0.081 -0.344 -0.169bad -0.100 -0.150 -0.100

H(Y,X) 1.767211

Hclass all paid critical/other existing delayed previouslygood 2.024 2.093 0.043bad 3.573 7.259 0.000

sigma^2(U) 0.000157sigma(U) 0.012516u(0.95) 1.64485362695147

Borne basse Borne hauteI.C. à 90% 0.0289 0.0701

Iclass all paid critical/other existing delayed previouslygood 5.055 6.987 0.042

bad 11.625 15.915 0.097

P 59.929950sigma^2(U)(0) 0.000158

Tests de significativitéLoi normalé

sigma(U)[H0] 0.012576z(U) 3.935544p-value 0.000042

Aexisting paid no credits/all paid Total

361 15 700169 25 300530 40 1000

Bexisting paid no credits/all paid Total

0.681 0.375 0.7000.319 0.625 0.300

Cexisting paid no credits/all paid Total

-0.262 -0.368 -0.250-0.364 -0.294 -0.361

D-0.626 -0.662 -0.6110.530 0.040 1.000

-0.332 -0.026 -0.611

E-0.336485484391064 -0.128755032994728

Fexisting paid no credits/all paid

0.361 0.0150.169 0.025

Gexisting paid no credits/all paid

-0.368 -0.063-0.300 -0.092

Hexisting paid no credits/all paid

0.273 2.3060.000 4.243

21.8134990.012516

Iexisting paid no credits/all paid

0.270 5.844

0.629 13.468

Tests de significativitéLoi du KHI-2

C(U) 60.467109DDL 4p-value 2.313958E-12

Obs. own_telephone foreign_worker Ytelephone Xforeign1 yes yes 1 12 none yes 0 13 none yes 0 14 none yes 0 15 none yes 0 16 yes yes 1 17 none yes 0 18 yes yes 1 19 none yes 0 1

10 none yes 0 111 none yes 0 112 none yes 0 113 yes yes 1 114 none yes 0 115 none yes 0 116 none yes 0 117 none yes 0 118 none yes 0 119 yes yes 1 120 yes yes 1 121 yes yes 1 122 none yes 0 123 none no 0 024 none yes 0 125 none no 0 026 yes yes 1 127 none yes 0 128 none yes 0 129 none yes 0 130 yes yes 1 131 yes yes 1 132 none yes 0 133 yes yes 1 134 none yes 0 135 yes yes 1 136 none yes 0 137 yes yes 1 138 none yes 0 139 yes yes 1 140 none yes 0 141 none yes 0 142 yes yes 1 143 yes yes 1 144 none yes 0 145 none yes 0 146 none yes 0 147 none yes 0 148 yes yes 1 149 none yes 0 150 none yes 0 151 none yes 0 152 yes yes 1 153 none yes 0 154 yes yes 1 155 yes yes 1 156 none yes 0 157 yes yes 1 158 none yes 0 1

59 none yes 0 160 yes yes 1 161 yes yes 1 162 yes yes 1 163 yes yes 1 164 yes yes 1 165 yes yes 1 166 yes yes 1 167 none yes 0 168 none yes 0 169 yes yes 1 170 none yes 0 171 none yes 0 172 yes yes 1 173 yes yes 1 174 none yes 0 175 yes yes 1 176 none yes 0 177 none yes 0 178 none yes 0 179 none yes 0 180 none yes 0 181 yes yes 1 182 yes yes 1 183 none yes 0 184 yes yes 1 185 none yes 0 186 yes yes 1 187 none yes 0 188 yes yes 1 189 yes yes 1 190 none yes 0 191 none yes 0 192 none yes 0 193 none yes 0 194 none yes 0 195 yes yes 1 196 yes yes 1 197 none yes 0 198 none yes 0 199 none yes 0 1

100 yes yes 1 1101 none yes 0 1102 none yes 0 1103 none yes 0 1104 yes yes 1 1105 yes yes 1 1106 yes yes 1 1107 yes yes 1 1108 none yes 0 1109 yes no 1 0110 yes yes 1 1111 none yes 0 1112 yes yes 1 1113 none yes 0 1114 yes yes 1 1115 none yes 0 1116 yes yes 1 1117 yes yes 1 1118 none no 0 0119 none yes 0 1120 yes yes 1 1

121 yes yes 1 1122 yes yes 1 1123 none yes 0 1124 yes yes 1 1125 none yes 0 1126 none yes 0 1127 none yes 0 1128 none yes 0 1129 yes yes 1 1130 none yes 0 1131 none yes 0 1132 yes yes 1 1133 none yes 0 1134 none yes 0 1135 yes yes 1 1136 yes yes 1 1137 none yes 0 1138 none yes 0 1139 yes yes 1 1140 yes yes 1 1141 none no 0 0142 yes yes 1 1143 none yes 0 1144 none yes 0 1145 yes yes 1 1146 none yes 0 1147 yes yes 1 1148 yes yes 1 1149 none yes 0 1150 none yes 0 1151 yes yes 1 1152 yes no 1 0153 none yes 0 1154 none yes 0 1155 yes yes 1 1156 none yes 0 1157 none no 0 0158 none yes 0 1159 yes yes 1 1160 none yes 0 1161 yes yes 1 1162 none yes 0 1163 yes yes 1 1164 yes yes 1 1165 none yes 0 1166 yes yes 1 1167 none yes 0 1168 none yes 0 1169 yes yes 1 1170 yes yes 1 1171 none yes 0 1172 yes yes 1 1173 yes yes 1 1174 none no 0 0175 none yes 0 1176 yes yes 1 1177 none yes 0 1178 none yes 0 1179 yes yes 1 1180 none yes 0 1181 none yes 0 1182 yes yes 1 1

183 none yes 0 1184 yes yes 1 1185 yes yes 1 1186 none yes 0 1187 yes yes 1 1188 yes yes 1 1189 none yes 0 1190 yes yes 1 1191 yes yes 1 1192 none yes 0 1193 yes yes 1 1194 none yes 0 1195 none yes 0 1196 yes yes 1 1197 yes yes 1 1198 none yes 0 1199 yes yes 1 1200 yes yes 1 1201 yes yes 1 1202 none yes 0 1203 none yes 0 1204 none yes 0 1205 none yes 0 1206 yes yes 1 1207 yes yes 1 1208 none yes 0 1209 none yes 0 1210 none no 0 0211 none yes 0 1212 yes yes 1 1213 yes yes 1 1214 yes yes 1 1215 yes yes 1 1216 none yes 0 1217 yes yes 1 1218 yes yes 1 1219 none yes 0 1220 yes yes 1 1221 none yes 0 1222 yes yes 1 1223 none yes 0 1224 yes yes 1 1225 yes yes 1 1226 none yes 0 1227 yes yes 1 1228 yes yes 1 1229 none yes 0 1230 none yes 0 1231 none yes 0 1232 none yes 0 1233 none yes 0 1234 none yes 0 1235 none yes 0 1236 none yes 0 1237 yes yes 1 1238 none yes 0 1239 none yes 0 1240 none yes 0 1241 none yes 0 1242 none yes 0 1243 none yes 0 1244 none yes 0 1

245 none yes 0 1246 yes yes 1 1247 none yes 0 1248 none no 0 0249 none yes 0 1250 none yes 0 1251 yes yes 1 1252 none yes 0 1253 none yes 0 1254 none yes 0 1255 yes yes 1 1256 none yes 0 1257 none yes 0 1258 none yes 0 1259 yes yes 1 1260 none yes 0 1261 none yes 0 1262 none yes 0 1263 yes yes 1 1264 none yes 0 1265 none no 0 0266 none yes 0 1267 none yes 0 1268 yes yes 1 1269 yes no 1 0270 none yes 0 1271 none no 0 0272 yes yes 1 1273 yes yes 1 1274 none yes 0 1275 yes yes 1 1276 none yes 0 1277 none yes 0 1278 yes yes 1 1279 none yes 0 1280 yes yes 1 1281 yes yes 1 1282 none yes 0 1283 none yes 0 1284 none yes 0 1285 yes yes 1 1286 yes yes 1 1287 none yes 0 1288 yes yes 1 1289 yes yes 1 1290 none yes 0 1291 yes no 1 0292 yes yes 1 1293 yes yes 1 1294 none yes 0 1295 none yes 0 1296 yes yes 1 1297 none yes 0 1298 none no 0 0299 yes yes 1 1300 yes yes 1 1301 yes yes 1 1302 yes yes 1 1303 none yes 0 1304 yes yes 1 1305 none yes 0 1306 none yes 0 1

307 none yes 0 1308 yes yes 1 1309 none yes 0 1310 none yes 0 1311 yes yes 1 1312 none yes 0 1313 none yes 0 1314 none yes 0 1315 none no 0 0316 none yes 0 1317 none yes 0 1318 yes yes 1 1319 none yes 0 1320 none yes 0 1321 none yes 0 1322 none yes 0 1323 yes yes 1 1324 none yes 0 1325 none yes 0 1326 none no 0 0327 yes yes 1 1328 yes yes 1 1329 none yes 0 1330 none yes 0 1331 yes yes 1 1332 none yes 0 1333 none yes 0 1334 none yes 0 1335 none yes 0 1336 yes yes 1 1337 none yes 0 1338 none yes 0 1339 none yes 0 1340 none yes 0 1341 yes yes 1 1342 none yes 0 1343 none yes 0 1344 yes yes 1 1345 none yes 0 1346 none yes 0 1347 none yes 0 1348 none yes 0 1349 none yes 0 1350 none yes 0 1351 yes yes 1 1352 none no 0 0353 yes yes 1 1354 yes yes 1 1355 yes yes 1 1356 none yes 0 1357 yes yes 1 1358 yes yes 1 1359 none yes 0 1360 none yes 0 1361 none yes 0 1362 none yes 0 1363 yes yes 1 1364 none yes 0 1365 none yes 0 1366 yes yes 1 1367 none yes 0 1368 none yes 0 1

369 none yes 0 1370 none yes 0 1371 none yes 0 1372 yes yes 1 1373 none yes 0 1374 yes yes 1 1375 yes yes 1 1376 none yes 0 1377 none yes 0 1378 none yes 0 1379 yes yes 1 1380 none yes 0 1381 yes yes 1 1382 yes yes 1 1383 none yes 0 1384 none yes 0 1385 none yes 0 1386 none yes 0 1387 yes yes 1 1388 yes yes 1 1389 none yes 0 1390 none yes 0 1391 yes yes 1 1392 none yes 0 1393 yes yes 1 1394 none yes 0 1395 none yes 0 1396 yes yes 1 1397 none yes 0 1398 yes yes 1 1399 none yes 0 1400 none yes 0 1401 yes yes 1 1402 none yes 0 1403 yes yes 1 1404 none yes 0 1405 none yes 0 1406 yes yes 1 1407 yes yes 1 1408 none no 0 0409 yes yes 1 1410 yes yes 1 1411 yes yes 1 1412 yes yes 1 1413 yes yes 1 1414 none no 0 0415 none yes 0 1416 yes yes 1 1417 none yes 0 1418 yes yes 1 1419 none yes 0 1420 none yes 0 1421 none yes 0 1422 none yes 0 1423 none yes 0 1424 none yes 0 1425 yes yes 1 1426 yes yes 1 1427 none yes 0 1428 none yes 0 1429 none yes 0 1430 none yes 0 1

431 none yes 0 1432 yes yes 1 1433 yes yes 1 1434 yes yes 1 1435 none yes 0 1436 yes yes 1 1437 none yes 0 1438 yes yes 1 1439 none yes 0 1440 none yes 0 1441 yes yes 1 1442 none yes 0 1443 yes yes 1 1444 none yes 0 1445 yes yes 1 1446 none yes 0 1447 yes yes 1 1448 none yes 0 1449 yes yes 1 1450 none yes 0 1451 yes yes 1 1452 none yes 0 1453 none yes 0 1454 yes yes 1 1455 yes yes 1 1456 yes yes 1 1457 none yes 0 1458 yes yes 1 1459 none yes 0 1460 yes yes 1 1461 none yes 0 1462 none yes 0 1463 none yes 0 1464 none yes 0 1465 yes yes 1 1466 yes yes 1 1467 yes yes 1 1468 none yes 0 1469 yes yes 1 1470 yes yes 1 1471 yes yes 1 1472 none yes 0 1473 none yes 0 1474 yes yes 1 1475 none yes 0 1476 none yes 0 1477 none yes 0 1478 none yes 0 1479 none yes 0 1480 yes yes 1 1481 none yes 0 1482 none yes 0 1483 yes yes 1 1484 none yes 0 1485 yes yes 1 1486 yes yes 1 1487 yes yes 1 1488 yes yes 1 1489 none no 0 0490 none yes 0 1491 none yes 0 1492 yes yes 1 1

493 none yes 0 1494 none yes 0 1495 none no 0 0496 none yes 0 1497 yes yes 1 1498 none yes 0 1499 none yes 0 1500 yes yes 1 1501 none yes 0 1502 none yes 0 1503 none yes 0 1504 none yes 0 1505 none yes 0 1506 none yes 0 1507 yes yes 1 1508 yes yes 1 1509 none yes 0 1510 yes yes 1 1511 none yes 0 1512 yes yes 1 1513 yes yes 1 1514 none yes 0 1515 none yes 0 1516 none no 0 0517 none no 0 0518 yes yes 1 1519 yes yes 1 1520 none yes 0 1521 none yes 0 1522 none yes 0 1523 none yes 0 1524 none yes 0 1525 none yes 0 1526 none yes 0 1527 none yes 0 1528 none yes 0 1529 none yes 0 1530 yes yes 1 1531 none yes 0 1532 yes yes 1 1533 none yes 0 1534 yes yes 1 1535 none yes 0 1536 none yes 0 1537 yes yes 1 1538 yes yes 1 1539 none yes 0 1540 none yes 0 1541 none yes 0 1542 yes yes 1 1543 none yes 0 1544 none yes 0 1545 none yes 0 1546 none yes 0 1547 yes yes 1 1548 none yes 0 1549 none yes 0 1550 yes yes 1 1551 none yes 0 1552 none yes 0 1553 yes yes 1 1554 none yes 0 1

555 yes yes 1 1556 none yes 0 1557 none yes 0 1558 yes yes 1 1559 none yes 0 1560 none yes 0 1561 yes yes 1 1562 none yes 0 1563 none yes 0 1564 yes yes 1 1565 yes yes 1 1566 yes yes 1 1567 none yes 0 1568 none yes 0 1569 yes yes 1 1570 yes yes 1 1571 yes yes 1 1572 none yes 0 1573 yes yes 1 1574 none yes 0 1575 none yes 0 1576 none yes 0 1577 none yes 0 1578 yes yes 1 1579 none yes 0 1580 none yes 0 1581 none yes 0 1582 none yes 0 1583 none yes 0 1584 none yes 0 1585 yes yes 1 1586 none yes 0 1587 none yes 0 1588 none yes 0 1589 yes yes 1 1590 none yes 0 1591 yes yes 1 1592 yes yes 1 1593 none yes 0 1594 yes yes 1 1595 yes yes 1 1596 none yes 0 1597 none yes 0 1598 yes yes 1 1599 none yes 0 1600 none yes 0 1601 none yes 0 1602 none yes 0 1603 none yes 0 1604 yes yes 1 1605 none yes 0 1606 yes yes 1 1607 yes yes 1 1608 none yes 0 1609 none yes 0 1610 none yes 0 1611 none yes 0 1612 none yes 0 1613 none yes 0 1614 none no 0 0615 none yes 0 1616 yes yes 1 1

617 none yes 0 1618 none yes 0 1619 none yes 0 1620 none yes 0 1621 none yes 0 1622 none yes 0 1623 none yes 0 1624 none yes 0 1625 none yes 0 1626 none yes 0 1627 yes yes 1 1628 none yes 0 1629 yes yes 1 1630 none yes 0 1631 none yes 0 1632 none yes 0 1633 none yes 0 1634 none yes 0 1635 yes yes 1 1636 yes yes 1 1637 none yes 0 1638 yes yes 1 1639 none yes 0 1640 yes yes 1 1641 none yes 0 1642 none yes 0 1643 yes yes 1 1644 yes yes 1 1645 yes yes 1 1646 yes yes 1 1647 none yes 0 1648 none yes 0 1649 none yes 0 1650 none yes 0 1651 yes yes 1 1652 none yes 0 1653 none yes 0 1654 yes yes 1 1655 yes yes 1 1656 none yes 0 1657 none yes 0 1658 yes yes 1 1659 none yes 0 1660 yes yes 1 1661 none yes 0 1662 none yes 0 1663 none yes 0 1664 yes yes 1 1665 none yes 0 1666 yes yes 1 1667 yes yes 1 1668 none yes 0 1669 yes yes 1 1670 none yes 0 1671 yes yes 1 1672 yes yes 1 1673 yes yes 1 1674 none yes 0 1675 none yes 0 1676 yes yes 1 1677 yes yes 1 1678 none yes 0 1

679 none yes 0 1680 none yes 0 1681 none yes 0 1682 yes yes 1 1683 none yes 0 1684 yes yes 1 1685 yes yes 1 1686 yes yes 1 1687 yes yes 1 1688 none yes 0 1689 yes yes 1 1690 none yes 0 1691 none yes 0 1692 none yes 0 1693 none yes 0 1694 none yes 0 1695 yes yes 1 1696 none yes 0 1697 none no 0 0698 none yes 0 1699 none yes 0 1700 yes yes 1 1701 none yes 0 1702 yes yes 1 1703 yes yes 1 1704 none yes 0 1705 yes yes 1 1706 none yes 0 1707 none yes 0 1708 none yes 0 1709 none yes 0 1710 none yes 0 1711 yes yes 1 1712 none yes 0 1713 yes yes 1 1714 none yes 0 1715 yes yes 1 1716 none yes 0 1717 yes yes 1 1718 yes yes 1 1719 yes yes 1 1720 yes yes 1 1721 yes yes 1 1722 none yes 0 1723 none yes 0 1724 none yes 0 1725 none yes 0 1726 none yes 0 1727 none yes 0 1728 none yes 0 1729 none yes 0 1730 yes yes 1 1731 none yes 0 1732 none yes 0 1733 none yes 0 1734 yes yes 1 1735 none yes 0 1736 none yes 0 1737 none yes 0 1738 yes yes 1 1739 yes yes 1 1740 none yes 0 1

741 none yes 0 1742 none yes 0 1743 yes yes 1 1744 yes yes 1 1745 yes yes 1 1746 none yes 0 1747 none yes 0 1748 none yes 0 1749 none yes 0 1750 none yes 0 1751 yes yes 1 1752 none yes 0 1753 none yes 0 1754 none yes 0 1755 none yes 0 1756 none yes 0 1757 none no 0 0758 yes yes 1 1759 yes yes 1 1760 none yes 0 1761 yes yes 1 1762 none yes 0 1763 none yes 0 1764 yes yes 1 1765 yes yes 1 1766 none yes 0 1767 none yes 0 1768 none yes 0 1769 yes yes 1 1770 yes yes 1 1771 none yes 0 1772 yes yes 1 1773 yes yes 1 1774 none yes 0 1775 none yes 0 1776 none yes 0 1777 yes yes 1 1778 none yes 0 1779 yes yes 1 1780 yes yes 1 1781 none yes 0 1782 yes yes 1 1783 yes yes 1 1784 none yes 0 1785 yes yes 1 1786 yes yes 1 1787 none yes 0 1788 yes yes 1 1789 none yes 0 1790 yes yes 1 1791 none yes 0 1792 yes yes 1 1793 none yes 0 1794 none yes 0 1795 yes yes 1 1796 none yes 0 1797 yes yes 1 1798 none yes 0 1799 yes yes 1 1800 none yes 0 1801 none yes 0 1802 yes yes 1 1

803 none yes 0 1804 none yes 0 1805 none yes 0 1806 yes yes 1 1807 none no 0 0808 none yes 0 1809 yes yes 1 1810 none yes 0 1811 yes yes 1 1812 none yes 0 1813 yes yes 1 1814 none yes 0 1815 none yes 0 1816 none yes 0 1817 none yes 0 1818 yes yes 1 1819 none yes 0 1820 none yes 0 1821 yes yes 1 1822 none yes 0 1823 none yes 0 1824 none yes 0 1825 yes yes 1 1826 yes yes 1 1827 yes yes 1 1828 none yes 0 1829 none yes 0 1830 yes yes 1 1831 yes yes 1 1832 yes yes 1 1833 none yes 0 1834 yes yes 1 1835 none yes 0 1836 none yes 0 1837 none yes 0 1838 none yes 0 1839 yes yes 1 1840 none yes 0 1841 none yes 0 1842 none yes 0 1843 none yes 0 1844 yes yes 1 1845 yes yes 1 1846 yes yes 1 1847 none yes 0 1848 none yes 0 1849 none yes 0 1850 none yes 0 1851 none no 0 0852 yes yes 1 1853 yes yes 1 1854 none yes 0 1855 yes yes 1 1856 yes yes 1 1857 yes yes 1 1858 yes yes 1 1859 yes yes 1 1860 none no 0 0861 none yes 0 1862 yes yes 1 1863 yes yes 1 1864 yes yes 1 1

865 none yes 0 1866 none yes 0 1867 none yes 0 1868 none yes 0 1869 none yes 0 1870 none yes 0 1871 yes yes 1 1872 none no 0 0873 yes yes 1 1874 none yes 0 1875 none yes 0 1876 none yes 0 1877 yes yes 1 1878 none yes 0 1879 yes yes 1 1880 none yes 0 1881 yes yes 1 1882 yes yes 1 1883 none yes 0 1884 none yes 0 1885 yes yes 1 1886 none yes 0 1887 yes yes 1 1888 yes yes 1 1889 yes yes 1 1890 yes yes 1 1891 yes yes 1 1892 yes yes 1 1893 none no 0 0894 yes yes 1 1895 yes yes 1 1896 yes yes 1 1897 yes yes 1 1898 none no 0 0899 none yes 0 1900 none yes 0 1901 yes yes 1 1902 yes yes 1 1903 none yes 0 1904 yes yes 1 1905 yes yes 1 1906 yes yes 1 1907 none no 0 0908 none yes 0 1909 none yes 0 1910 none yes 0 1911 none yes 0 1912 none yes 0 1913 none yes 0 1914 yes yes 1 1915 yes yes 1 1916 yes no 1 0917 none yes 0 1918 yes yes 1 1919 none yes 0 1920 yes yes 1 1921 none yes 0 1922 yes yes 1 1923 none yes 0 1924 yes yes 1 1925 yes yes 1 1926 yes yes 1 1

927 none yes 0 1928 yes yes 1 1929 yes yes 1 1930 none yes 0 1931 none no 0 0932 yes yes 1 1933 none yes 0 1934 yes yes 1 1935 none yes 0 1936 none yes 0 1937 none yes 0 1938 yes yes 1 1939 none yes 0 1940 yes yes 1 1941 yes yes 1 1942 none no 0 0943 yes yes 1 1944 none yes 0 1945 none yes 0 1946 none yes 0 1947 yes yes 1 1948 yes yes 1 1949 none yes 0 1950 none yes 0 1951 yes yes 1 1952 yes yes 1 1953 none yes 0 1954 yes yes 1 1955 yes yes 1 1956 yes yes 1 1957 none yes 0 1958 none yes 0 1959 none yes 0 1960 none yes 0 1961 none yes 0 1962 none yes 0 1963 none yes 0 1964 yes yes 1 1965 none yes 0 1966 none yes 0 1967 none yes 0 1968 yes yes 1 1969 yes yes 1 1970 none yes 0 1971 none yes 0 1972 none yes 0 1973 none yes 0 1974 none yes 0 1975 yes yes 1 1976 none yes 0 1977 none yes 0 1978 none yes 0 1979 none yes 0 1980 none yes 0 1981 none yes 0 1982 yes yes 1 1983 yes yes 1 1984 none yes 0 1985 none yes 0 1986 none yes 0 1987 none yes 0 1988 none yes 0 1

989 yes yes 1 1990 none yes 0 1991 none yes 0 1992 none yes 0 1993 none yes 0 1994 yes yes 1 1995 yes yes 1 1996 none yes 0 1997 yes yes 1 1998 none yes 0 1999 yes yes 1 1

1000 none yes 0 1

Tableau de contingence (A)NB own_telephone foreign_workerown_telephone no yes Totalnone 32 564 596yes 5 399 404Total 37 963 1000

Tableau sous indépendance (B)no yes Total

none 22.052 573.948 596yes 14.948 389.052 404Total 37 963 1000

Calcul du KHI-2 (C)no yes

none 4.4876974424089 0.1724245123252yes 6.6204645437517 0.2543688350143

KHI-2 et PHIKHI-2 11.534955DDL 1p-value 0.000683

PHI 0.107401

Coefficient de corrélationr 0.107401t 3.412656ddl 998p-value 0.000669

Calcul du KHI-2 - Correction de Yates (D)no yes

none 4.0479187375295 0.1555275112031yes 5.9716820979395 0.2294415759333

KHI-2 (Corrigé)KHI-2 10.404570DDL 1p-value 0.001257

Coefficient Q de YULEforeign_worker

own_telephone 1 0 Total1 399 5 4040 564 32 596

Total 963 37 1000

P 25536Q 5640

Q de Yule 0.638183

Intervalle de confiancesigma^2 0.020687sigma 0.143828

u(0.95) 1.6448536269515

Borne basse 0.401607Borne haute 0.874759

Test de significativitésigma^2(0) 0.027622sigma(0) 0.166198

z 3.839886p-value 0.000123

Tableau de contingence initial (A)class business domestic appliance education new car other repairsbad 34 4 22 89 5 8good 63 8 28 145 7 14Total 97 12 50 234 12 22

Tableau de contingence après regroupement (B) Tableau sous indépendance (C )Groupe(Exposé = 1) Groupe(Témoin=0) Total

bad (+) 180 120 300 bad (+)good (-) 359 341 700 good (-)Total 539 461 1000 Total

Notations des cases du tableau (E) Tableau de calcul du KHI-2 (D)Groupe(Exposé = 1) Groupe(Témoin=0) Total

bad (+) a b a+b bad (+)good (-) c d c+d good (-)Total a+c b+d n Total

Calcul des odds et odds-ratio (F)Odds(+/1) 0.5014Odds(+/0) 0.3519RR(+/-) 1.2829Odds-Ratio(+/-) 1.4248

Ln(odds-ratio) 0.3540sigma[ln(OR)] 0.1400

z 2.5283p-value 0.0115

Tableau de contingence (Tirage retrospectif) (G)Groupe(Exposé = 1) Groupe(Ref=0) Total

bad (+) 180 120 300good (-) 153.86 146.14 300Total 333.86 266.14 600

Calcul des odds et odds-ratio (H)Odds(+/1) 1.1699Odds(+/0) 0.8211RR(+/-) 1.1958Odds-Ratio(+/-) 1.4248

Q de Yule(I)Q de Yule 0.1752

Tableau de contingence initial (A)retraining used car furniture/equipment radio/tv Total

1 17 58 62 3008 86 123 218 7009 103 181 280 1000

Tableau sous indépendance (C )Groupe(Exposé = 1) Groupe(Témoin=0) Total

161.7 138.3 300377.3 322.7 700

539 461 1000

Tableau de calcul du KHI-2 (D)Groupe(Exposé = 1) Groupe(Témoin=0) Total

2.07 2.42 3000.89 1.04 700539 461 1000

KHI-2 6.417904DDL 1p-value 0.011298

Tableau de contingenceclass Témoin business domestic applian education new carbad (+) 120 34 4 22 89good (-) 341 63 8 28 145Total 461 97 12 50 234

Odds(+/-) 0.3519 0.5397 0.5000 0.7857 0.6138

Odds-ratioOdds-ratio(+/- ; Groupe/Témoin) 1.5336 1.4208 2.2327 1.7442Rang 5 6 1 3

Test de significativitéLn(Odds-ratio) 0.4276 0.3512 0.8032 0.5563Ecart type 0.2378 0.6215 0.3040 0.1715z 1.7982 0.5652 2.6419 3.2445

Tableau de contingenceother repairs retraining used car Total

5 8 1 17 1807 14 8 86 359

12 22 9 103 539

0.7143 0.5714 0.1250 0.1977

Odds-ratio2.0298 1.6238 0.3552 0.5617

2 4 8 7

Test de significativité0.7079 0.4848 -1.0351 -0.57670.5951 0.4557 1.0660 0.28591.1896 1.0637 -0.9710 -2.0176

Numéro JUGE 1 JUGE 21 good good Croisement des jugements (I)2 bad bad NB JUGE 1 JUGE 23 good good JUGE 1 bad good indet Total4 indet indet bad 188 4 1925 bad bad good 417 6 4236 indet indet indet 59 67 259 3857 good good Total 247 484 269 10008 indet indet9 good good

10 bad bad Tableau indépendance (II)11 bad bad bad good indet12 bad bad bad 47424 92928 5164813 indet good good 104481 204732 11378714 indet indet indet 95095 186340 10356515 bad bad16 indet bad17 good good p_a 0.86400018 bad bad p_e 0.35572119 indet bad20 good good Kappa Cohen 0.78891121 good good22 indet good23 good good p_m 0.88400024 good good Kappa max 0.81995425 good good26 indet good Rapport 96.21%27 indet good28 indet indet29 good good30 bad bad31 indet indet32 indet bad33 indet indet34 good good35 indet indet36 indet indet37 indet indet38 indet indet39 good good40 indet indet41 good good42 indet indet43 indet indet44 indet good45 bad bad46 indet good47 good good48 indet good49 good good50 good good51 indet indet52 good good53 good good54 good good55 bad bad56 good good57 good good58 indet indet59 indet indet60 bad bad61 indet indet

62 good good63 bad bad64 bad bad65 indet good66 good good67 good good68 indet indet69 bad bad70 good good71 indet indet72 good good73 good good74 indet indet75 bad bad76 good good77 bad bad78 good good79 indet indet80 indet indet81 good good82 good good83 indet indet84 good good85 good good86 good good87 indet indet88 bad bad89 indet indet90 indet bad91 good good92 good good93 good good94 indet indet95 good good96 bad bad97 good good98 indet indet99 indet good

100 good good101 indet indet102 indet indet103 good good104 good good105 good good106 indet indet107 indet bad108 indet indet109 good indet110 good good111 indet indet112 bad bad113 indet indet114 bad bad115 indet good116 good good117 indet indet118 good good119 indet indet120 good good121 bad bad122 good good123 good good

124 indet good125 indet indet126 indet indet127 indet indet128 indet bad129 good good130 bad bad131 indet bad132 bad bad133 good good134 indet indet135 indet indet136 good good137 good good138 indet good139 good good140 good good141 good good142 bad bad143 indet indet144 indet indet145 good good146 indet bad147 indet indet148 good good149 indet indet150 good good151 good good152 good good153 indet indet154 indet indet155 indet indet156 indet bad157 good good158 bad bad159 indet indet160 good good161 good good162 indet indet163 good good164 indet bad165 indet indet166 good good167 bad bad168 indet good169 good good170 indet indet171 bad bad172 good good173 indet indet174 good good175 indet bad176 indet indet177 indet indet178 indet good179 good good180 indet indet181 indet indet182 indet bad183 bad bad184 good good185 indet bad

186 good good187 indet indet188 indet good189 indet indet190 bad bad191 good good192 bad bad193 indet indet194 good good195 indet indet196 good indet197 good good198 bad bad199 good good200 indet indet201 good good202 indet bad203 good good204 indet indet205 good good206 indet bad207 good good208 indet good209 bad bad210 good good211 good good212 good good213 bad bad214 good good215 good good216 good good217 indet bad218 good good219 bad bad220 good good221 indet indet222 bad bad223 indet indet224 good good225 good good226 indet bad227 bad bad228 indet indet229 good good230 bad bad231 indet indet232 good good233 good good234 indet good235 good good236 bad bad237 indet indet238 bad bad239 good good240 good good241 bad bad242 good good243 bad bad244 good good245 good good246 good good247 good good

248 indet indet249 good good250 bad indet251 good good252 good good253 bad bad254 good good255 good good256 indet indet257 good good258 bad bad259 good good260 good good261 indet indet262 bad bad263 indet indet264 good good265 good good266 indet indet267 good good268 indet indet269 indet indet270 good good271 good good272 good good273 bad bad274 indet indet275 bad bad276 good good277 good good278 good good279 good good280 good good281 good good282 good good283 good good284 good good285 indet bad286 bad bad287 indet bad288 indet indet289 good good290 bad bad291 good good292 indet indet293 indet indet294 good good295 indet indet296 bad bad297 good good298 good good299 good good300 good good301 good good302 bad bad303 good good304 indet indet305 indet indet306 good good307 good good308 indet bad309 indet indet

310 bad bad311 indet good312 indet indet313 indet indet314 indet indet315 good good316 bad bad317 good good318 good good319 good good320 indet indet321 bad bad322 bad bad323 good good324 indet indet325 indet good326 good good327 good good328 good good329 indet indet330 indet indet331 indet good332 indet good333 bad bad334 indet indet335 bad bad336 good good337 good good338 bad bad339 indet bad340 indet indet341 indet bad342 indet indet343 indet good344 indet indet345 good good346 good good347 good good348 indet indet349 good good350 good indet351 indet good352 good good353 good good354 bad bad355 good good356 bad bad357 good good358 indet good359 good good360 bad bad361 indet indet362 good good363 indet indet364 good good365 indet indet366 good good367 good good368 bad bad369 indet bad370 indet indet371 indet good

372 good good373 good good374 indet indet375 bad bad376 bad bad377 good good378 good good379 bad bad380 good good381 good good382 bad bad383 indet indet384 indet indet385 good good386 good good387 indet good388 indet indet389 good good390 good good391 good good392 indet indet393 bad bad394 good good395 good good396 bad bad397 indet indet398 indet indet399 indet bad400 good good401 good good402 indet indet403 indet indet404 indet indet405 indet indet406 indet indet407 good good408 indet indet409 good good410 good good411 indet indet412 good good413 good good414 good good415 bad bad416 good good417 indet bad418 bad bad419 good good420 indet indet421 good good422 good good423 good good424 good good425 good good426 good good427 good good428 good good429 good good430 indet indet431 good good432 bad bad433 indet indet

434 good good435 indet indet436 good good437 good good438 good good439 bad bad440 indet indet441 good good442 bad bad443 indet good444 indet indet445 indet indet446 good good447 bad bad448 good good449 good good450 indet indet451 good good452 good good453 good good454 good good455 bad bad456 good good457 indet indet458 good good459 bad bad460 good good461 indet indet462 bad bad463 indet indet464 good good465 good good466 indet indet467 bad bad468 indet indet469 indet good470 good good471 indet indet472 bad bad473 bad bad474 good good475 indet indet476 bad bad477 good good478 indet indet479 good good480 indet indet481 good good482 bad bad483 indet indet484 good good485 good good486 indet indet487 good good488 bad indet489 good good490 good good491 good good492 bad bad493 good good494 good good495 good indet

496 indet indet497 bad bad498 good good499 good good500 good good501 bad bad502 indet indet503 good good504 indet bad505 bad bad506 good good507 good good508 indet bad509 indet indet510 good good511 indet bad512 good good513 good good514 bad bad515 good good516 indet indet517 good good518 indet indet519 indet indet520 good good521 good good522 indet indet523 bad bad524 good good525 indet good526 indet indet527 good good528 good good529 bad bad530 indet indet531 indet bad532 indet indet533 good good534 good good535 good good536 indet indet537 indet indet538 good good539 bad bad540 indet indet541 indet indet542 indet good543 indet indet544 good good545 good good546 bad bad547 indet good548 good good549 bad bad550 good good551 good good552 good good553 indet indet554 indet indet555 indet indet556 indet indet557 bad bad

558 indet indet559 bad bad560 indet good561 indet indet562 bad bad563 indet indet564 bad bad565 indet indet566 indet indet567 indet bad568 good good569 indet indet570 bad bad571 bad bad572 indet good573 good good574 bad bad575 indet indet576 indet good577 good good578 good good579 bad bad580 indet good581 indet good582 indet indet583 indet good584 bad bad585 good good586 bad bad587 indet indet588 indet indet589 bad indet590 good good591 indet indet592 bad bad593 good good594 bad bad595 indet indet596 bad bad597 bad bad598 indet indet599 good good600 good good601 good good602 indet indet603 bad bad604 indet indet605 indet indet606 bad bad607 good good608 bad bad609 good good610 good good611 bad bad612 good good613 indet indet614 indet indet615 good good616 bad bad617 indet bad618 indet indet619 bad bad

620 indet indet621 good good622 indet indet623 indet indet624 bad bad625 indet indet626 good good627 good good628 indet indet629 good good630 good good631 indet indet632 bad bad633 indet indet634 indet indet635 bad bad636 indet indet637 good good638 indet bad639 indet good640 indet bad641 bad bad642 indet indet643 good good644 good good645 indet indet646 indet indet647 bad bad648 indet good649 indet bad650 bad bad651 bad bad652 indet indet653 bad bad654 indet bad655 good good656 bad bad657 bad bad658 indet indet659 bad bad660 indet indet661 good good662 indet bad663 good good664 indet indet665 good good666 indet indet667 indet bad668 indet bad669 bad bad670 good good671 good good672 good good673 indet bad674 good good675 good good676 good good677 good good678 indet bad679 indet indet680 indet good681 indet indet

682 good good683 indet good684 good good685 indet indet686 indet bad687 good good688 bad bad689 good good690 good indet691 indet bad692 indet indet693 indet indet694 good good695 good good696 good good697 good good698 good good699 good good700 indet indet701 indet good702 indet indet703 indet good704 indet indet705 indet bad706 indet good707 indet bad708 bad bad709 indet indet710 good good711 good good712 bad bad713 good good714 indet good715 bad bad716 good good717 good good718 good good719 good good720 indet indet721 indet indet722 bad bad723 bad bad724 indet good725 indet indet726 good good727 good good728 bad bad729 bad bad730 good good731 indet indet732 indet bad733 good good734 good good735 good good736 bad bad737 indet bad738 indet indet739 good good740 bad bad741 bad bad742 indet bad743 good good

744 bad bad745 indet bad746 indet indet747 bad bad748 bad bad749 good good750 good good751 indet indet752 bad bad753 indet indet754 indet good755 good good756 bad bad757 good good758 good good759 good good760 indet bad761 good good762 indet indet763 indet indet764 indet good765 good good766 good good767 bad bad768 good good769 good good770 good good771 indet good772 bad bad773 good good774 good good775 good good776 bad bad777 good good778 indet good779 good good780 indet indet781 good good782 good good783 indet good784 bad bad785 good good786 good good787 good good788 good good789 bad bad790 bad bad791 indet indet792 good good793 good good794 indet indet795 indet good796 good good797 good good798 good good799 good good800 good good801 indet indet802 indet good803 indet indet804 good good805 indet indet

806 bad bad807 good good808 good good809 bad bad810 bad bad811 indet indet812 good good813 indet indet814 bad bad815 bad bad816 bad bad817 good good818 good good819 bad bad820 bad bad821 good good822 good good823 indet bad824 indet indet825 good good826 indet bad827 bad bad828 indet indet829 indet indet830 indet indet831 good good832 bad bad833 bad bad834 good good835 good good836 bad bad837 good good838 good good839 good good840 good good841 indet bad842 good good843 indet indet844 indet indet845 good indet846 good good847 indet good848 indet indet849 good good850 indet indet851 indet indet852 good good853 good good854 bad bad855 indet indet856 indet indet857 good good858 good good859 bad bad860 good good861 good good862 good good863 indet indet864 good good865 good good866 good good867 bad bad

868 good good869 good good870 bad bad871 good good872 good good873 good good874 indet good875 indet indet876 indet indet877 bad bad878 indet good879 bad bad880 good good881 good good882 good good883 indet good884 good good885 indet indet886 bad bad887 good good888 bad bad889 indet indet890 good good891 indet bad892 good good893 indet indet894 indet good895 good good896 good good897 bad bad898 good good899 good good900 bad indet901 indet good902 good good903 good good904 good good905 good good906 indet indet907 good good908 indet indet909 good good910 good good911 indet indet912 indet indet913 indet good914 good good915 bad bad916 bad bad917 good good918 bad bad919 indet indet920 indet bad921 indet indet922 indet indet923 bad bad924 indet indet925 bad bad926 bad bad927 bad bad928 bad bad929 good good

930 indet bad931 indet bad932 indet indet933 good good934 good good935 bad bad936 bad bad937 good good938 indet indet939 bad bad940 good good941 good good942 good good943 good good944 good good945 indet indet946 bad bad947 bad bad948 good good949 indet indet950 good good951 indet good952 indet indet953 indet indet954 bad bad955 indet indet956 indet indet957 good good958 good good959 bad bad960 indet indet961 good good962 indet indet963 indet good964 good good965 indet indet966 indet indet967 indet good968 indet good969 good good970 indet indet971 good good972 indet indet973 bad bad974 bad bad975 good good976 indet good977 good good978 good good979 indet good980 bad bad981 indet good982 indet indet983 indet indet984 indet bad985 good good986 bad bad987 bad bad988 good good989 indet bad990 indet indet991 good good

992 indet indet993 indet indet994 bad bad995 good good996 good good997 indet bad998 good good999 bad bad

1000 indet indet

Calcul de la variance

Somme(n_ll) 864Somme(n_l. * n_.l) 355721

A 117504B -4202702464

Tableau de calcul de Cbad good indet

bad 36231548 0 850084good 0 343044633 2873184indet 23566016 50595787 110778444

C 1.142867E+15D 644279

sigma^2 0.0002740sigma 0.0165528

u(95) 1.644854

B.Basse 0.761684B.Haute 0.816138

Calcul de la variance sous H0

sigma^2(0) 0.000501sigma(0) 0.022386

Test de significativité

z 35.241464p-value 0.000000

Tableau des jugements Tableau de calculNuméro JUGE 1 JUGE 2 Numéro bad good indet Total

1 good good 1 0 2 0 22 bad bad 2 2 0 0 23 good good 3 0 2 0 24 indet indet 4 0 0 2 25 bad bad 5 2 0 0 26 indet indet 6 0 0 2 27 good good 7 0 2 0 28 indet indet 8 0 0 2 29 good good 9 0 2 0 2

10 bad bad 10 2 0 0 211 bad bad 11 2 0 0 212 bad bad 12 2 0 0 213 indet good 13 0 1 1 214 indet indet 14 0 0 2 215 bad bad 15 2 0 0 216 indet bad 16 1 0 1 217 good good 17 0 2 0 218 bad bad 18 2 0 0 219 indet bad 19 1 0 1 220 good good 20 0 2 0 221 good good 21 0 2 0 222 indet good 22 0 1 1 223 good good 23 0 2 0 224 good good 24 0 2 0 225 good good 25 0 2 0 226 indet good 26 0 1 1 227 indet good 27 0 1 1 228 indet indet 28 0 0 2 229 good good 29 0 2 0 230 bad bad 30 2 0 0 231 indet indet 31 0 0 2 232 indet bad 32 1 0 1 233 indet indet 33 0 0 2 234 good good 34 0 2 0 235 indet indet 35 0 0 2 236 indet indet 36 0 0 2 237 indet indet 37 0 0 2 238 indet indet 38 0 0 2 239 good good 39 0 2 0 240 indet indet 40 0 0 2 241 good good 41 0 2 0 242 indet indet 42 0 0 2 243 indet indet 43 0 0 2 244 indet good 44 0 1 1 245 bad bad 45 2 0 0 246 indet good 46 0 1 1 247 good good 47 0 2 0 248 indet good 48 0 1 1 249 good good 49 0 2 0 250 good good 50 0 2 0 251 indet indet 51 0 0 2 252 good good 52 0 2 0 253 good good 53 0 2 0 254 good good 54 0 2 0 255 bad bad 55 2 0 0 256 good good 56 0 2 0 257 good good 57 0 2 0 258 indet indet 58 0 0 2 259 indet indet 59 0 0 2 260 bad bad 60 2 0 0 2

61 indet indet 61 0 0 2 262 good good 62 0 2 0 263 bad bad 63 2 0 0 264 bad bad 64 2 0 0 265 indet good 65 0 1 1 266 good good 66 0 2 0 267 good good 67 0 2 0 268 indet indet 68 0 0 2 269 bad bad 69 2 0 0 270 good good 70 0 2 0 271 indet indet 71 0 0 2 272 good good 72 0 2 0 273 good good 73 0 2 0 274 indet indet 74 0 0 2 275 bad bad 75 2 0 0 276 good good 76 0 2 0 277 bad bad 77 2 0 0 278 good good 78 0 2 0 279 indet indet 79 0 0 2 280 indet indet 80 0 0 2 281 good good 81 0 2 0 282 good good 82 0 2 0 283 indet indet 83 0 0 2 284 good good 84 0 2 0 285 good good 85 0 2 0 286 good good 86 0 2 0 287 indet indet 87 0 0 2 288 bad bad 88 2 0 0 289 indet indet 89 0 0 2 290 indet bad 90 1 0 1 291 good good 91 0 2 0 292 good good 92 0 2 0 293 good good 93 0 2 0 294 indet indet 94 0 0 2 295 good good 95 0 2 0 296 bad bad 96 2 0 0 297 good good 97 0 2 0 298 indet indet 98 0 0 2 299 indet good 99 0 1 1 2

100 good good 100 0 2 0 2101 indet indet 101 0 0 2 2102 indet indet 102 0 0 2 2103 good good 103 0 2 0 2104 good good 104 0 2 0 2105 good good 105 0 2 0 2106 indet indet 106 0 0 2 2107 indet bad 107 1 0 1 2108 indet indet 108 0 0 2 2109 good indet 109 0 1 1 2110 good good 110 0 2 0 2111 indet indet 111 0 0 2 2112 bad bad 112 2 0 0 2113 indet indet 113 0 0 2 2114 bad bad 114 2 0 0 2115 indet good 115 0 1 1 2116 good good 116 0 2 0 2117 indet indet 117 0 0 2 2118 good good 118 0 2 0 2119 indet indet 119 0 0 2 2120 good good 120 0 2 0 2121 bad bad 121 2 0 0 2122 good good 122 0 2 0 2

123 good good 123 0 2 0 2124 indet good 124 0 1 1 2125 indet indet 125 0 0 2 2126 indet indet 126 0 0 2 2127 indet indet 127 0 0 2 2128 indet bad 128 1 0 1 2129 good good 129 0 2 0 2130 bad bad 130 2 0 0 2131 indet bad 131 1 0 1 2132 bad bad 132 2 0 0 2133 good good 133 0 2 0 2134 indet indet 134 0 0 2 2135 indet indet 135 0 0 2 2136 good good 136 0 2 0 2137 good good 137 0 2 0 2138 indet good 138 0 1 1 2139 good good 139 0 2 0 2140 good good 140 0 2 0 2141 good good 141 0 2 0 2142 bad bad 142 2 0 0 2143 indet indet 143 0 0 2 2144 indet indet 144 0 0 2 2145 good good 145 0 2 0 2146 indet bad 146 1 0 1 2147 indet indet 147 0 0 2 2148 good good 148 0 2 0 2149 indet indet 149 0 0 2 2150 good good 150 0 2 0 2151 good good 151 0 2 0 2152 good good 152 0 2 0 2153 indet indet 153 0 0 2 2154 indet indet 154 0 0 2 2155 indet indet 155 0 0 2 2156 indet bad 156 1 0 1 2157 good good 157 0 2 0 2158 bad bad 158 2 0 0 2159 indet indet 159 0 0 2 2160 good good 160 0 2 0 2161 good good 161 0 2 0 2162 indet indet 162 0 0 2 2163 good good 163 0 2 0 2164 indet bad 164 1 0 1 2165 indet indet 165 0 0 2 2166 good good 166 0 2 0 2167 bad bad 167 2 0 0 2168 indet good 168 0 1 1 2169 good good 169 0 2 0 2170 indet indet 170 0 0 2 2171 bad bad 171 2 0 0 2172 good good 172 0 2 0 2173 indet indet 173 0 0 2 2174 good good 174 0 2 0 2175 indet bad 175 1 0 1 2176 indet indet 176 0 0 2 2177 indet indet 177 0 0 2 2178 indet good 178 0 1 1 2179 good good 179 0 2 0 2180 indet indet 180 0 0 2 2181 indet indet 181 0 0 2 2182 indet bad 182 1 0 1 2183 bad bad 183 2 0 0 2184 good good 184 0 2 0 2

185 indet bad 185 1 0 1 2186 good good 186 0 2 0 2187 indet indet 187 0 0 2 2188 indet good 188 0 1 1 2189 indet indet 189 0 0 2 2190 bad bad 190 2 0 0 2191 good good 191 0 2 0 2192 bad bad 192 2 0 0 2193 indet indet 193 0 0 2 2194 good good 194 0 2 0 2195 indet indet 195 0 0 2 2196 good indet 196 0 1 1 2197 good good 197 0 2 0 2198 bad bad 198 2 0 0 2199 good good 199 0 2 0 2200 indet indet 200 0 0 2 2201 good good 201 0 2 0 2202 indet bad 202 1 0 1 2203 good good 203 0 2 0 2204 indet indet 204 0 0 2 2205 good good 205 0 2 0 2206 indet bad 206 1 0 1 2207 good good 207 0 2 0 2208 indet good 208 0 1 1 2209 bad bad 209 2 0 0 2210 good good 210 0 2 0 2211 good good 211 0 2 0 2212 good good 212 0 2 0 2213 bad bad 213 2 0 0 2214 good good 214 0 2 0 2215 good good 215 0 2 0 2216 good good 216 0 2 0 2217 indet bad 217 1 0 1 2218 good good 218 0 2 0 2219 bad bad 219 2 0 0 2220 good good 220 0 2 0 2221 indet indet 221 0 0 2 2222 bad bad 222 2 0 0 2223 indet indet 223 0 0 2 2224 good good 224 0 2 0 2225 good good 225 0 2 0 2226 indet bad 226 1 0 1 2227 bad bad 227 2 0 0 2228 indet indet 228 0 0 2 2229 good good 229 0 2 0 2230 bad bad 230 2 0 0 2231 indet indet 231 0 0 2 2232 good good 232 0 2 0 2233 good good 233 0 2 0 2234 indet good 234 0 1 1 2235 good good 235 0 2 0 2236 bad bad 236 2 0 0 2237 indet indet 237 0 0 2 2238 bad bad 238 2 0 0 2239 good good 239 0 2 0 2240 good good 240 0 2 0 2241 bad bad 241 2 0 0 2242 good good 242 0 2 0 2243 bad bad 243 2 0 0 2244 good good 244 0 2 0 2245 good good 245 0 2 0 2246 good good 246 0 2 0 2

247 good good 247 0 2 0 2248 indet indet 248 0 0 2 2249 good good 249 0 2 0 2250 bad indet 250 1 0 1 2251 good good 251 0 2 0 2252 good good 252 0 2 0 2253 bad bad 253 2 0 0 2254 good good 254 0 2 0 2255 good good 255 0 2 0 2256 indet indet 256 0 0 2 2257 good good 257 0 2 0 2258 bad bad 258 2 0 0 2259 good good 259 0 2 0 2260 good good 260 0 2 0 2261 indet indet 261 0 0 2 2262 bad bad 262 2 0 0 2263 indet indet 263 0 0 2 2264 good good 264 0 2 0 2265 good good 265 0 2 0 2266 indet indet 266 0 0 2 2267 good good 267 0 2 0 2268 indet indet 268 0 0 2 2269 indet indet 269 0 0 2 2270 good good 270 0 2 0 2271 good good 271 0 2 0 2272 good good 272 0 2 0 2273 bad bad 273 2 0 0 2274 indet indet 274 0 0 2 2275 bad bad 275 2 0 0 2276 good good 276 0 2 0 2277 good good 277 0 2 0 2278 good good 278 0 2 0 2279 good good 279 0 2 0 2280 good good 280 0 2 0 2281 good good 281 0 2 0 2282 good good 282 0 2 0 2283 good good 283 0 2 0 2284 good good 284 0 2 0 2285 indet bad 285 1 0 1 2286 bad bad 286 2 0 0 2287 indet bad 287 1 0 1 2288 indet indet 288 0 0 2 2289 good good 289 0 2 0 2290 bad bad 290 2 0 0 2291 good good 291 0 2 0 2292 indet indet 292 0 0 2 2293 indet indet 293 0 0 2 2294 good good 294 0 2 0 2295 indet indet 295 0 0 2 2296 bad bad 296 2 0 0 2297 good good 297 0 2 0 2298 good good 298 0 2 0 2299 good good 299 0 2 0 2300 good good 300 0 2 0 2301 good good 301 0 2 0 2302 bad bad 302 2 0 0 2303 good good 303 0 2 0 2304 indet indet 304 0 0 2 2305 indet indet 305 0 0 2 2306 good good 306 0 2 0 2307 good good 307 0 2 0 2308 indet bad 308 1 0 1 2

309 indet indet 309 0 0 2 2310 bad bad 310 2 0 0 2311 indet good 311 0 1 1 2312 indet indet 312 0 0 2 2313 indet indet 313 0 0 2 2314 indet indet 314 0 0 2 2315 good good 315 0 2 0 2316 bad bad 316 2 0 0 2317 good good 317 0 2 0 2318 good good 318 0 2 0 2319 good good 319 0 2 0 2320 indet indet 320 0 0 2 2321 bad bad 321 2 0 0 2322 bad bad 322 2 0 0 2323 good good 323 0 2 0 2324 indet indet 324 0 0 2 2325 indet good 325 0 1 1 2326 good good 326 0 2 0 2327 good good 327 0 2 0 2328 good good 328 0 2 0 2329 indet indet 329 0 0 2 2330 indet indet 330 0 0 2 2331 indet good 331 0 1 1 2332 indet good 332 0 1 1 2333 bad bad 333 2 0 0 2334 indet indet 334 0 0 2 2335 bad bad 335 2 0 0 2336 good good 336 0 2 0 2337 good good 337 0 2 0 2338 bad bad 338 2 0 0 2339 indet bad 339 1 0 1 2340 indet indet 340 0 0 2 2341 indet bad 341 1 0 1 2342 indet indet 342 0 0 2 2343 indet good 343 0 1 1 2344 indet indet 344 0 0 2 2345 good good 345 0 2 0 2346 good good 346 0 2 0 2347 good good 347 0 2 0 2348 indet indet 348 0 0 2 2349 good good 349 0 2 0 2350 good indet 350 0 1 1 2351 indet good 351 0 1 1 2352 good good 352 0 2 0 2353 good good 353 0 2 0 2354 bad bad 354 2 0 0 2355 good good 355 0 2 0 2356 bad bad 356 2 0 0 2357 good good 357 0 2 0 2358 indet good 358 0 1 1 2359 good good 359 0 2 0 2360 bad bad 360 2 0 0 2361 indet indet 361 0 0 2 2362 good good 362 0 2 0 2363 indet indet 363 0 0 2 2364 good good 364 0 2 0 2365 indet indet 365 0 0 2 2366 good good 366 0 2 0 2367 good good 367 0 2 0 2368 bad bad 368 2 0 0 2369 indet bad 369 1 0 1 2370 indet indet 370 0 0 2 2

371 indet good 371 0 1 1 2372 good good 372 0 2 0 2373 good good 373 0 2 0 2374 indet indet 374 0 0 2 2375 bad bad 375 2 0 0 2376 bad bad 376 2 0 0 2377 good good 377 0 2 0 2378 good good 378 0 2 0 2379 bad bad 379 2 0 0 2380 good good 380 0 2 0 2381 good good 381 0 2 0 2382 bad bad 382 2 0 0 2383 indet indet 383 0 0 2 2384 indet indet 384 0 0 2 2385 good good 385 0 2 0 2386 good good 386 0 2 0 2387 indet good 387 0 1 1 2388 indet indet 388 0 0 2 2389 good good 389 0 2 0 2390 good good 390 0 2 0 2391 good good 391 0 2 0 2392 indet indet 392 0 0 2 2393 bad bad 393 2 0 0 2394 good good 394 0 2 0 2395 good good 395 0 2 0 2396 bad bad 396 2 0 0 2397 indet indet 397 0 0 2 2398 indet indet 398 0 0 2 2399 indet bad 399 1 0 1 2400 good good 400 0 2 0 2401 good good 401 0 2 0 2402 indet indet 402 0 0 2 2403 indet indet 403 0 0 2 2404 indet indet 404 0 0 2 2405 indet indet 405 0 0 2 2406 indet indet 406 0 0 2 2407 good good 407 0 2 0 2408 indet indet 408 0 0 2 2409 good good 409 0 2 0 2410 good good 410 0 2 0 2411 indet indet 411 0 0 2 2412 good good 412 0 2 0 2413 good good 413 0 2 0 2414 good good 414 0 2 0 2415 bad bad 415 2 0 0 2416 good good 416 0 2 0 2417 indet bad 417 1 0 1 2418 bad bad 418 2 0 0 2419 good good 419 0 2 0 2420 indet indet 420 0 0 2 2421 good good 421 0 2 0 2422 good good 422 0 2 0 2423 good good 423 0 2 0 2424 good good 424 0 2 0 2425 good good 425 0 2 0 2426 good good 426 0 2 0 2427 good good 427 0 2 0 2428 good good 428 0 2 0 2429 good good 429 0 2 0 2430 indet indet 430 0 0 2 2431 good good 431 0 2 0 2432 bad bad 432 2 0 0 2

433 indet indet 433 0 0 2 2434 good good 434 0 2 0 2435 indet indet 435 0 0 2 2436 good good 436 0 2 0 2437 good good 437 0 2 0 2438 good good 438 0 2 0 2439 bad bad 439 2 0 0 2440 indet indet 440 0 0 2 2441 good good 441 0 2 0 2442 bad bad 442 2 0 0 2443 indet good 443 0 1 1 2444 indet indet 444 0 0 2 2445 indet indet 445 0 0 2 2446 good good 446 0 2 0 2447 bad bad 447 2 0 0 2448 good good 448 0 2 0 2449 good good 449 0 2 0 2450 indet indet 450 0 0 2 2451 good good 451 0 2 0 2452 good good 452 0 2 0 2453 good good 453 0 2 0 2454 good good 454 0 2 0 2455 bad bad 455 2 0 0 2456 good good 456 0 2 0 2457 indet indet 457 0 0 2 2458 good good 458 0 2 0 2459 bad bad 459 2 0 0 2460 good good 460 0 2 0 2461 indet indet 461 0 0 2 2462 bad bad 462 2 0 0 2463 indet indet 463 0 0 2 2464 good good 464 0 2 0 2465 good good 465 0 2 0 2466 indet indet 466 0 0 2 2467 bad bad 467 2 0 0 2468 indet indet 468 0 0 2 2469 indet good 469 0 1 1 2470 good good 470 0 2 0 2471 indet indet 471 0 0 2 2472 bad bad 472 2 0 0 2473 bad bad 473 2 0 0 2474 good good 474 0 2 0 2475 indet indet 475 0 0 2 2476 bad bad 476 2 0 0 2477 good good 477 0 2 0 2478 indet indet 478 0 0 2 2479 good good 479 0 2 0 2480 indet indet 480 0 0 2 2481 good good 481 0 2 0 2482 bad bad 482 2 0 0 2483 indet indet 483 0 0 2 2484 good good 484 0 2 0 2485 good good 485 0 2 0 2486 indet indet 486 0 0 2 2487 good good 487 0 2 0 2488 bad indet 488 1 0 1 2489 good good 489 0 2 0 2490 good good 490 0 2 0 2491 good good 491 0 2 0 2492 bad bad 492 2 0 0 2493 good good 493 0 2 0 2494 good good 494 0 2 0 2

495 good indet 495 0 1 1 2496 indet indet 496 0 0 2 2497 bad bad 497 2 0 0 2498 good good 498 0 2 0 2499 good good 499 0 2 0 2500 good good 500 0 2 0 2501 bad bad 501 2 0 0 2502 indet indet 502 0 0 2 2503 good good 503 0 2 0 2504 indet bad 504 1 0 1 2505 bad bad 505 2 0 0 2506 good good 506 0 2 0 2507 good good 507 0 2 0 2508 indet bad 508 1 0 1 2509 indet indet 509 0 0 2 2510 good good 510 0 2 0 2511 indet bad 511 1 0 1 2512 good good 512 0 2 0 2513 good good 513 0 2 0 2514 bad bad 514 2 0 0 2515 good good 515 0 2 0 2516 indet indet 516 0 0 2 2517 good good 517 0 2 0 2518 indet indet 518 0 0 2 2519 indet indet 519 0 0 2 2520 good good 520 0 2 0 2521 good good 521 0 2 0 2522 indet indet 522 0 0 2 2523 bad bad 523 2 0 0 2524 good good 524 0 2 0 2525 indet good 525 0 1 1 2526 indet indet 526 0 0 2 2527 good good 527 0 2 0 2528 good good 528 0 2 0 2529 bad bad 529 2 0 0 2530 indet indet 530 0 0 2 2531 indet bad 531 1 0 1 2532 indet indet 532 0 0 2 2533 good good 533 0 2 0 2534 good good 534 0 2 0 2535 good good 535 0 2 0 2536 indet indet 536 0 0 2 2537 indet indet 537 0 0 2 2538 good good 538 0 2 0 2539 bad bad 539 2 0 0 2540 indet indet 540 0 0 2 2541 indet indet 541 0 0 2 2542 indet good 542 0 1 1 2543 indet indet 543 0 0 2 2544 good good 544 0 2 0 2545 good good 545 0 2 0 2546 bad bad 546 2 0 0 2547 indet good 547 0 1 1 2548 good good 548 0 2 0 2549 bad bad 549 2 0 0 2550 good good 550 0 2 0 2551 good good 551 0 2 0 2552 good good 552 0 2 0 2553 indet indet 553 0 0 2 2554 indet indet 554 0 0 2 2555 indet indet 555 0 0 2 2556 indet indet 556 0 0 2 2

557 bad bad 557 2 0 0 2558 indet indet 558 0 0 2 2559 bad bad 559 2 0 0 2560 indet good 560 0 1 1 2561 indet indet 561 0 0 2 2562 bad bad 562 2 0 0 2563 indet indet 563 0 0 2 2564 bad bad 564 2 0 0 2565 indet indet 565 0 0 2 2566 indet indet 566 0 0 2 2567 indet bad 567 1 0 1 2568 good good 568 0 2 0 2569 indet indet 569 0 0 2 2570 bad bad 570 2 0 0 2571 bad bad 571 2 0 0 2572 indet good 572 0 1 1 2573 good good 573 0 2 0 2574 bad bad 574 2 0 0 2575 indet indet 575 0 0 2 2576 indet good 576 0 1 1 2577 good good 577 0 2 0 2578 good good 578 0 2 0 2579 bad bad 579 2 0 0 2580 indet good 580 0 1 1 2581 indet good 581 0 1 1 2582 indet indet 582 0 0 2 2583 indet good 583 0 1 1 2584 bad bad 584 2 0 0 2585 good good 585 0 2 0 2586 bad bad 586 2 0 0 2587 indet indet 587 0 0 2 2588 indet indet 588 0 0 2 2589 bad indet 589 1 0 1 2590 good good 590 0 2 0 2591 indet indet 591 0 0 2 2592 bad bad 592 2 0 0 2593 good good 593 0 2 0 2594 bad bad 594 2 0 0 2595 indet indet 595 0 0 2 2596 bad bad 596 2 0 0 2597 bad bad 597 2 0 0 2598 indet indet 598 0 0 2 2599 good good 599 0 2 0 2600 good good 600 0 2 0 2601 good good 601 0 2 0 2602 indet indet 602 0 0 2 2603 bad bad 603 2 0 0 2604 indet indet 604 0 0 2 2605 indet indet 605 0 0 2 2606 bad bad 606 2 0 0 2607 good good 607 0 2 0 2608 bad bad 608 2 0 0 2609 good good 609 0 2 0 2610 good good 610 0 2 0 2611 bad bad 611 2 0 0 2612 good good 612 0 2 0 2613 indet indet 613 0 0 2 2614 indet indet 614 0 0 2 2615 good good 615 0 2 0 2616 bad bad 616 2 0 0 2617 indet bad 617 1 0 1 2618 indet indet 618 0 0 2 2

619 bad bad 619 2 0 0 2620 indet indet 620 0 0 2 2621 good good 621 0 2 0 2622 indet indet 622 0 0 2 2623 indet indet 623 0 0 2 2624 bad bad 624 2 0 0 2625 indet indet 625 0 0 2 2626 good good 626 0 2 0 2627 good good 627 0 2 0 2628 indet indet 628 0 0 2 2629 good good 629 0 2 0 2630 good good 630 0 2 0 2631 indet indet 631 0 0 2 2632 bad bad 632 2 0 0 2633 indet indet 633 0 0 2 2634 indet indet 634 0 0 2 2635 bad bad 635 2 0 0 2636 indet indet 636 0 0 2 2637 good good 637 0 2 0 2638 indet bad 638 1 0 1 2639 indet good 639 0 1 1 2640 indet bad 640 1 0 1 2641 bad bad 641 2 0 0 2642 indet indet 642 0 0 2 2643 good good 643 0 2 0 2644 good good 644 0 2 0 2645 indet indet 645 0 0 2 2646 indet indet 646 0 0 2 2647 bad bad 647 2 0 0 2648 indet good 648 0 1 1 2649 indet bad 649 1 0 1 2650 bad bad 650 2 0 0 2651 bad bad 651 2 0 0 2652 indet indet 652 0 0 2 2653 bad bad 653 2 0 0 2654 indet bad 654 1 0 1 2655 good good 655 0 2 0 2656 bad bad 656 2 0 0 2657 bad bad 657 2 0 0 2658 indet indet 658 0 0 2 2659 bad bad 659 2 0 0 2660 indet indet 660 0 0 2 2661 good good 661 0 2 0 2662 indet bad 662 1 0 1 2663 good good 663 0 2 0 2664 indet indet 664 0 0 2 2665 good good 665 0 2 0 2666 indet indet 666 0 0 2 2667 indet bad 667 1 0 1 2668 indet bad 668 1 0 1 2669 bad bad 669 2 0 0 2670 good good 670 0 2 0 2671 good good 671 0 2 0 2672 good good 672 0 2 0 2673 indet bad 673 1 0 1 2674 good good 674 0 2 0 2675 good good 675 0 2 0 2676 good good 676 0 2 0 2677 good good 677 0 2 0 2678 indet bad 678 1 0 1 2679 indet indet 679 0 0 2 2680 indet good 680 0 1 1 2

681 indet indet 681 0 0 2 2682 good good 682 0 2 0 2683 indet good 683 0 1 1 2684 good good 684 0 2 0 2685 indet indet 685 0 0 2 2686 indet bad 686 1 0 1 2687 good good 687 0 2 0 2688 bad bad 688 2 0 0 2689 good good 689 0 2 0 2690 good indet 690 0 1 1 2691 indet bad 691 1 0 1 2692 indet indet 692 0 0 2 2693 indet indet 693 0 0 2 2694 good good 694 0 2 0 2695 good good 695 0 2 0 2696 good good 696 0 2 0 2697 good good 697 0 2 0 2698 good good 698 0 2 0 2699 good good 699 0 2 0 2700 indet indet 700 0 0 2 2701 indet good 701 0 1 1 2702 indet indet 702 0 0 2 2703 indet good 703 0 1 1 2704 indet indet 704 0 0 2 2705 indet bad 705 1 0 1 2706 indet good 706 0 1 1 2707 indet bad 707 1 0 1 2708 bad bad 708 2 0 0 2709 indet indet 709 0 0 2 2710 good good 710 0 2 0 2711 good good 711 0 2 0 2712 bad bad 712 2 0 0 2713 good good 713 0 2 0 2714 indet good 714 0 1 1 2715 bad bad 715 2 0 0 2716 good good 716 0 2 0 2717 good good 717 0 2 0 2718 good good 718 0 2 0 2719 good good 719 0 2 0 2720 indet indet 720 0 0 2 2721 indet indet 721 0 0 2 2722 bad bad 722 2 0 0 2723 bad bad 723 2 0 0 2724 indet good 724 0 1 1 2725 indet indet 725 0 0 2 2726 good good 726 0 2 0 2727 good good 727 0 2 0 2728 bad bad 728 2 0 0 2729 bad bad 729 2 0 0 2730 good good 730 0 2 0 2731 indet indet 731 0 0 2 2732 indet bad 732 1 0 1 2733 good good 733 0 2 0 2734 good good 734 0 2 0 2735 good good 735 0 2 0 2736 bad bad 736 2 0 0 2737 indet bad 737 1 0 1 2738 indet indet 738 0 0 2 2739 good good 739 0 2 0 2740 bad bad 740 2 0 0 2741 bad bad 741 2 0 0 2742 indet bad 742 1 0 1 2

743 good good 743 0 2 0 2744 bad bad 744 2 0 0 2745 indet bad 745 1 0 1 2746 indet indet 746 0 0 2 2747 bad bad 747 2 0 0 2748 bad bad 748 2 0 0 2749 good good 749 0 2 0 2750 good good 750 0 2 0 2751 indet indet 751 0 0 2 2752 bad bad 752 2 0 0 2753 indet indet 753 0 0 2 2754 indet good 754 0 1 1 2755 good good 755 0 2 0 2756 bad bad 756 2 0 0 2757 good good 757 0 2 0 2758 good good 758 0 2 0 2759 good good 759 0 2 0 2760 indet bad 760 1 0 1 2761 good good 761 0 2 0 2762 indet indet 762 0 0 2 2763 indet indet 763 0 0 2 2764 indet good 764 0 1 1 2765 good good 765 0 2 0 2766 good good 766 0 2 0 2767 bad bad 767 2 0 0 2768 good good 768 0 2 0 2769 good good 769 0 2 0 2770 good good 770 0 2 0 2771 indet good 771 0 1 1 2772 bad bad 772 2 0 0 2773 good good 773 0 2 0 2774 good good 774 0 2 0 2775 good good 775 0 2 0 2776 bad bad 776 2 0 0 2777 good good 777 0 2 0 2778 indet good 778 0 1 1 2779 good good 779 0 2 0 2780 indet indet 780 0 0 2 2781 good good 781 0 2 0 2782 good good 782 0 2 0 2783 indet good 783 0 1 1 2784 bad bad 784 2 0 0 2785 good good 785 0 2 0 2786 good good 786 0 2 0 2787 good good 787 0 2 0 2788 good good 788 0 2 0 2789 bad bad 789 2 0 0 2790 bad bad 790 2 0 0 2791 indet indet 791 0 0 2 2792 good good 792 0 2 0 2793 good good 793 0 2 0 2794 indet indet 794 0 0 2 2795 indet good 795 0 1 1 2796 good good 796 0 2 0 2797 good good 797 0 2 0 2798 good good 798 0 2 0 2799 good good 799 0 2 0 2800 good good 800 0 2 0 2801 indet indet 801 0 0 2 2802 indet good 802 0 1 1 2803 indet indet 803 0 0 2 2804 good good 804 0 2 0 2

805 indet indet 805 0 0 2 2806 bad bad 806 2 0 0 2807 good good 807 0 2 0 2808 good good 808 0 2 0 2809 bad bad 809 2 0 0 2810 bad bad 810 2 0 0 2811 indet indet 811 0 0 2 2812 good good 812 0 2 0 2813 indet indet 813 0 0 2 2814 bad bad 814 2 0 0 2815 bad bad 815 2 0 0 2816 bad bad 816 2 0 0 2817 good good 817 0 2 0 2818 good good 818 0 2 0 2819 bad bad 819 2 0 0 2820 bad bad 820 2 0 0 2821 good good 821 0 2 0 2822 good good 822 0 2 0 2823 indet bad 823 1 0 1 2824 indet indet 824 0 0 2 2825 good good 825 0 2 0 2826 indet bad 826 1 0 1 2827 bad bad 827 2 0 0 2828 indet indet 828 0 0 2 2829 indet indet 829 0 0 2 2830 indet indet 830 0 0 2 2831 good good 831 0 2 0 2832 bad bad 832 2 0 0 2833 bad bad 833 2 0 0 2834 good good 834 0 2 0 2835 good good 835 0 2 0 2836 bad bad 836 2 0 0 2837 good good 837 0 2 0 2838 good good 838 0 2 0 2839 good good 839 0 2 0 2840 good good 840 0 2 0 2841 indet bad 841 1 0 1 2842 good good 842 0 2 0 2843 indet indet 843 0 0 2 2844 indet indet 844 0 0 2 2845 good indet 845 0 1 1 2846 good good 846 0 2 0 2847 indet good 847 0 1 1 2848 indet indet 848 0 0 2 2849 good good 849 0 2 0 2850 indet indet 850 0 0 2 2851 indet indet 851 0 0 2 2852 good good 852 0 2 0 2853 good good 853 0 2 0 2854 bad bad 854 2 0 0 2855 indet indet 855 0 0 2 2856 indet indet 856 0 0 2 2857 good good 857 0 2 0 2858 good good 858 0 2 0 2859 bad bad 859 2 0 0 2860 good good 860 0 2 0 2861 good good 861 0 2 0 2862 good good 862 0 2 0 2863 indet indet 863 0 0 2 2864 good good 864 0 2 0 2865 good good 865 0 2 0 2866 good good 866 0 2 0 2

867 bad bad 867 2 0 0 2868 good good 868 0 2 0 2869 good good 869 0 2 0 2870 bad bad 870 2 0 0 2871 good good 871 0 2 0 2872 good good 872 0 2 0 2873 good good 873 0 2 0 2874 indet good 874 0 1 1 2875 indet indet 875 0 0 2 2876 indet indet 876 0 0 2 2877 bad bad 877 2 0 0 2878 indet good 878 0 1 1 2879 bad bad 879 2 0 0 2880 good good 880 0 2 0 2881 good good 881 0 2 0 2882 good good 882 0 2 0 2883 indet good 883 0 1 1 2884 good good 884 0 2 0 2885 indet indet 885 0 0 2 2886 bad bad 886 2 0 0 2887 good good 887 0 2 0 2888 bad bad 888 2 0 0 2889 indet indet 889 0 0 2 2890 good good 890 0 2 0 2891 indet bad 891 1 0 1 2892 good good 892 0 2 0 2893 indet indet 893 0 0 2 2894 indet good 894 0 1 1 2895 good good 895 0 2 0 2896 good good 896 0 2 0 2897 bad bad 897 2 0 0 2898 good good 898 0 2 0 2899 good good 899 0 2 0 2900 bad indet 900 1 0 1 2901 indet good 901 0 1 1 2902 good good 902 0 2 0 2903 good good 903 0 2 0 2904 good good 904 0 2 0 2905 good good 905 0 2 0 2906 indet indet 906 0 0 2 2907 good good 907 0 2 0 2908 indet indet 908 0 0 2 2909 good good 909 0 2 0 2910 good good 910 0 2 0 2911 indet indet 911 0 0 2 2912 indet indet 912 0 0 2 2913 indet good 913 0 1 1 2914 good good 914 0 2 0 2915 bad bad 915 2 0 0 2916 bad bad 916 2 0 0 2917 good good 917 0 2 0 2918 bad bad 918 2 0 0 2919 indet indet 919 0 0 2 2920 indet bad 920 1 0 1 2921 indet indet 921 0 0 2 2922 indet indet 922 0 0 2 2923 bad bad 923 2 0 0 2924 indet indet 924 0 0 2 2925 bad bad 925 2 0 0 2926 bad bad 926 2 0 0 2927 bad bad 927 2 0 0 2928 bad bad 928 2 0 0 2

929 good good 929 0 2 0 2930 indet bad 930 1 0 1 2931 indet bad 931 1 0 1 2932 indet indet 932 0 0 2 2933 good good 933 0 2 0 2934 good good 934 0 2 0 2935 bad bad 935 2 0 0 2936 bad bad 936 2 0 0 2937 good good 937 0 2 0 2938 indet indet 938 0 0 2 2939 bad bad 939 2 0 0 2940 good good 940 0 2 0 2941 good good 941 0 2 0 2942 good good 942 0 2 0 2943 good good 943 0 2 0 2944 good good 944 0 2 0 2945 indet indet 945 0 0 2 2946 bad bad 946 2 0 0 2947 bad bad 947 2 0 0 2948 good good 948 0 2 0 2949 indet indet 949 0 0 2 2950 good good 950 0 2 0 2951 indet good 951 0 1 1 2952 indet indet 952 0 0 2 2953 indet indet 953 0 0 2 2954 bad bad 954 2 0 0 2955 indet indet 955 0 0 2 2956 indet indet 956 0 0 2 2957 good good 957 0 2 0 2958 good good 958 0 2 0 2959 bad bad 959 2 0 0 2960 indet indet 960 0 0 2 2961 good good 961 0 2 0 2962 indet indet 962 0 0 2 2963 indet good 963 0 1 1 2964 good good 964 0 2 0 2965 indet indet 965 0 0 2 2966 indet indet 966 0 0 2 2967 indet good 967 0 1 1 2968 indet good 968 0 1 1 2969 good good 969 0 2 0 2970 indet indet 970 0 0 2 2971 good good 971 0 2 0 2972 indet indet 972 0 0 2 2973 bad bad 973 2 0 0 2974 bad bad 974 2 0 0 2975 good good 975 0 2 0 2976 indet good 976 0 1 1 2977 good good 977 0 2 0 2978 good good 978 0 2 0 2979 indet good 979 0 1 1 2980 bad bad 980 2 0 0 2981 indet good 981 0 1 1 2982 indet indet 982 0 0 2 2983 indet indet 983 0 0 2 2984 indet bad 984 1 0 1 2985 good good 985 0 2 0 2986 bad bad 986 2 0 0 2987 bad bad 987 2 0 0 2988 good good 988 0 2 0 2989 indet bad 989 1 0 1 2990 indet indet 990 0 0 2 2

991 good good 991 0 2 0 2992 indet indet 992 0 0 2 2993 indet indet 993 0 0 2 2994 bad bad 994 2 0 0 2995 good good 995 0 2 0 2996 good good 996 0 2 0 2997 indet bad 997 1 0 1 2998 good good 998 0 2 0 2999 bad bad 999 2 0 0 2

1000 indet indet 1000 0 0 2 2

Somme(x_ic^2) Calcul kappa (Formule 1)44 Somme catégories (x_{.c})4 bad good indet4 439 907 65444 Proprotion catégories (f_c)4 bad good indet4 0.2195 0.4535 0.327044 p_e 0.36077244 Somme_i (Somme_x_ic^2) 372824 p_a 0.86400042 kappa_f 0.7872444424 Calcul kappa (Formule 2)42 f_c x (1-f_c)4 0.171320 0.247838 0.22007144 kappa_f 0.787244224 Test de significativité44 f_c ^34 0.0106 0.0933 0.035024 sigma^2(0) 0.0005644 sigma(0) 0.02375744 z 33.1376004 p-value 0.00000044444424242444444444444

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4444442444

Tableau des jugements Tableau de calcul x_ic(m_i - x_ic)/m_iNuméro JUGE 1 JUGE 2 Numéro bad good indet m_i bad good

1 good good 1 0 2 0 2 0 02 bad bad 2 2 0 0 2 0 03 good good 3 0 2 0 2 0 04 indet indet 4 0 0 2 2 0 05 bad bad 5 2 0 0 2 0 06 indet indet 6 0 0 2 2 0 07 good good 7 0 2 0 2 0 08 indet indet 8 0 0 2 2 0 09 good good 9 0 2 0 2 0 0

10 bad bad 10 2 0 0 2 0 011 bad bad 11 2 0 0 2 0 012 bad bad 12 2 0 0 2 0 013 indet good 13 0 1 1 2 0 0.514 indet indet 14 0 0 2 2 0 015 bad bad 15 2 0 0 2 0 016 indet bad 16 1 0 1 2 0.5 017 good good 17 0 2 0 2 0 018 bad bad 18 2 0 0 2 0 019 indet bad 19 1 0 1 2 0.5 020 good good 20 0 2 0 2 0 021 good good 21 0 2 0 2 0 022 indet good 22 0 1 1 2 0 0.523 good good 23 0 2 0 2 0 024 good good 24 0 2 0 2 0 025 good good 25 0 2 0 2 0 026 indet good 26 0 1 1 2 0 0.527 indet good 27 0 1 1 2 0 0.528 indet indet 28 0 0 2 2 0 029 good good 29 0 2 0 2 0 030 bad bad 30 2 0 0 2 0 031 indet indet 31 0 0 2 2 0 032 indet bad 32 1 0 1 2 0.5 033 indet indet 33 0 0 2 2 0 034 good good 34 0 2 0 2 0 035 indet indet 35 0 0 2 2 0 036 indet indet 36 0 0 2 2 0 037 indet indet 37 0 0 2 2 0 038 indet indet 38 0 0 2 2 0 039 good good 39 0 2 0 2 0 040 indet indet 40 0 0 2 2 0 041 good good 41 0 2 0 2 0 042 indet indet 42 0 0 2 2 0 043 indet indet 43 0 0 2 2 0 044 indet good 44 0 1 1 2 0 0.545 bad bad 45 2 0 0 2 0 046 indet good 46 0 1 1 2 0 0.547 good good 47 0 2 0 2 0 048 indet good 48 0 1 1 2 0 0.549 good good 49 0 2 0 2 0 050 good good 50 0 2 0 2 0 051 indet indet 51 0 0 2 2 0 052 good good 52 0 2 0 2 0 053 good good 53 0 2 0 2 0 054 good good 54 0 2 0 2 0 055 bad bad 55 2 0 0 2 0 056 good good 56 0 2 0 2 0 057 good good 57 0 2 0 2 0 058 indet indet 58 0 0 2 2 0 059 indet indet 59 0 0 2 2 0 060 bad bad 60 2 0 0 2 0 0

61 indet indet 61 0 0 2 2 0 062 good good 62 0 2 0 2 0 063 bad bad 63 2 0 0 2 0 064 bad bad 64 2 0 0 2 0 065 indet good 65 0 1 1 2 0 0.566 good good 66 0 2 0 2 0 067 good good 67 0 2 0 2 0 068 indet indet 68 0 0 2 2 0 069 bad bad 69 2 0 0 2 0 070 good good 70 0 2 0 2 0 071 indet indet 71 0 0 2 2 0 072 good good 72 0 2 0 2 0 073 good good 73 0 2 0 2 0 074 indet indet 74 0 0 2 2 0 075 bad bad 75 2 0 0 2 0 076 good good 76 0 2 0 2 0 077 bad bad 77 2 0 0 2 0 078 good good 78 0 2 0 2 0 079 indet indet 79 0 0 2 2 0 080 indet indet 80 0 0 2 2 0 081 good good 81 0 2 0 2 0 082 good good 82 0 2 0 2 0 083 indet indet 83 0 0 2 2 0 084 good good 84 0 2 0 2 0 085 good good 85 0 2 0 2 0 086 good good 86 0 2 0 2 0 087 indet indet 87 0 0 2 2 0 088 bad bad 88 2 0 0 2 0 089 indet indet 89 0 0 2 2 0 090 indet bad 90 1 0 1 2 0.5 091 good good 91 0 2 0 2 0 092 good good 92 0 2 0 2 0 093 good good 93 0 2 0 2 0 094 indet indet 94 0 0 2 2 0 095 good good 95 0 2 0 2 0 096 bad bad 96 2 0 0 2 0 097 good good 97 0 2 0 2 0 098 indet indet 98 0 0 2 2 0 099 indet good 99 0 1 1 2 0 0.5

100 good good 100 0 2 0 2 0 0101 indet indet 101 0 0 2 2 0 0102 indet indet 102 0 0 2 2 0 0103 good good 103 0 2 0 2 0 0104 good good 104 0 2 0 2 0 0105 good good 105 0 2 0 2 0 0106 indet indet 106 0 0 2 2 0 0107 indet bad 107 1 0 1 2 0.5 0108 indet indet 108 0 0 2 2 0 0109 good indet 109 0 1 1 2 0 0.5110 good good 110 0 2 0 2 0 0111 indet indet 111 0 0 2 2 0 0112 bad bad 112 2 0 0 2 0 0113 indet indet 113 0 0 2 2 0 0114 bad bad 114 2 0 0 2 0 0115 indet good 115 0 1 1 2 0 0.5116 good good 116 0 2 0 2 0 0117 indet indet 117 0 0 2 2 0 0118 good good 118 0 2 0 2 0 0119 indet indet 119 0 0 2 2 0 0120 good good 120 0 2 0 2 0 0121 bad bad 121 2 0 0 2 0 0122 good good 122 0 2 0 2 0 0

123 good good 123 0 2 0 2 0 0124 indet good 124 0 1 1 2 0 0.5125 indet indet 125 0 0 2 2 0 0126 indet indet 126 0 0 2 2 0 0127 indet indet 127 0 0 2 2 0 0128 indet bad 128 1 0 1 2 0.5 0129 good good 129 0 2 0 2 0 0130 bad bad 130 2 0 0 2 0 0131 indet bad 131 1 0 1 2 0.5 0132 bad bad 132 2 0 0 2 0 0133 good good 133 0 2 0 2 0 0134 indet indet 134 0 0 2 2 0 0135 indet indet 135 0 0 2 2 0 0136 good good 136 0 2 0 2 0 0137 good good 137 0 2 0 2 0 0138 indet good 138 0 1 1 2 0 0.5139 good good 139 0 2 0 2 0 0140 good good 140 0 2 0 2 0 0141 good good 141 0 2 0 2 0 0142 bad bad 142 2 0 0 2 0 0143 indet indet 143 0 0 2 2 0 0144 indet indet 144 0 0 2 2 0 0145 good good 145 0 2 0 2 0 0146 indet bad 146 1 0 1 2 0.5 0147 indet indet 147 0 0 2 2 0 0148 good good 148 0 2 0 2 0 0149 indet indet 149 0 0 2 2 0 0150 good good 150 0 2 0 2 0 0151 good good 151 0 2 0 2 0 0152 good good 152 0 2 0 2 0 0153 indet indet 153 0 0 2 2 0 0154 indet indet 154 0 0 2 2 0 0155 indet indet 155 0 0 2 2 0 0156 indet bad 156 1 0 1 2 0.5 0157 good good 157 0 2 0 2 0 0158 bad bad 158 2 0 0 2 0 0159 indet indet 159 0 0 2 2 0 0160 good good 160 0 2 0 2 0 0161 good good 161 0 2 0 2 0 0162 indet indet 162 0 0 2 2 0 0163 good good 163 0 2 0 2 0 0164 indet bad 164 1 0 1 2 0.5 0165 indet indet 165 0 0 2 2 0 0166 good good 166 0 2 0 2 0 0167 bad bad 167 2 0 0 2 0 0168 indet good 168 0 1 1 2 0 0.5169 good good 169 0 2 0 2 0 0170 indet indet 170 0 0 2 2 0 0171 bad bad 171 2 0 0 2 0 0172 good good 172 0 2 0 2 0 0173 indet indet 173 0 0 2 2 0 0174 good good 174 0 2 0 2 0 0175 indet bad 175 1 0 1 2 0.5 0176 indet indet 176 0 0 2 2 0 0177 indet indet 177 0 0 2 2 0 0178 indet good 178 0 1 1 2 0 0.5179 good good 179 0 2 0 2 0 0180 indet indet 180 0 0 2 2 0 0181 indet indet 181 0 0 2 2 0 0182 indet bad 182 1 0 1 2 0.5 0183 bad bad 183 2 0 0 2 0 0184 good good 184 0 2 0 2 0 0

185 indet bad 185 1 0 1 2 0.5 0186 good good 186 0 2 0 2 0 0187 indet indet 187 0 0 2 2 0 0188 indet good 188 0 1 1 2 0 0.5189 indet indet 189 0 0 2 2 0 0190 bad bad 190 2 0 0 2 0 0191 good good 191 0 2 0 2 0 0192 bad bad 192 2 0 0 2 0 0193 indet indet 193 0 0 2 2 0 0194 good good 194 0 2 0 2 0 0195 indet indet 195 0 0 2 2 0 0196 good indet 196 0 1 1 2 0 0.5197 good good 197 0 2 0 2 0 0198 bad bad 198 2 0 0 2 0 0199 good good 199 0 2 0 2 0 0200 indet indet 200 0 0 2 2 0 0201 good good 201 0 2 0 2 0 0202 indet bad 202 1 0 1 2 0.5 0203 good good 203 0 2 0 2 0 0204 indet indet 204 0 0 2 2 0 0205 good good 205 0 2 0 2 0 0206 indet bad 206 1 0 1 2 0.5 0207 good good 207 0 2 0 2 0 0208 indet good 208 0 1 1 2 0 0.5209 bad bad 209 2 0 0 2 0 0210 good good 210 0 2 0 2 0 0211 good good 211 0 2 0 2 0 0212 good good 212 0 2 0 2 0 0213 bad bad 213 2 0 0 2 0 0214 good good 214 0 2 0 2 0 0215 good good 215 0 2 0 2 0 0216 good good 216 0 2 0 2 0 0217 indet bad 217 1 0 1 2 0.5 0218 good good 218 0 2 0 2 0 0219 bad bad 219 2 0 0 2 0 0220 good good 220 0 2 0 2 0 0221 indet indet 221 0 0 2 2 0 0222 bad bad 222 2 0 0 2 0 0223 indet indet 223 0 0 2 2 0 0224 good good 224 0 2 0 2 0 0225 good good 225 0 2 0 2 0 0226 indet bad 226 1 0 1 2 0.5 0227 bad bad 227 2 0 0 2 0 0228 indet indet 228 0 0 2 2 0 0229 good good 229 0 2 0 2 0 0230 bad bad 230 2 0 0 2 0 0231 indet indet 231 0 0 2 2 0 0232 good good 232 0 2 0 2 0 0233 good good 233 0 2 0 2 0 0234 indet good 234 0 1 1 2 0 0.5235 good good 235 0 2 0 2 0 0236 bad bad 236 2 0 0 2 0 0237 indet indet 237 0 0 2 2 0 0238 bad bad 238 2 0 0 2 0 0239 good good 239 0 2 0 2 0 0240 good good 240 0 2 0 2 0 0241 bad bad 241 2 0 0 2 0 0242 good good 242 0 2 0 2 0 0243 bad bad 243 2 0 0 2 0 0244 good good 244 0 2 0 2 0 0245 good good 245 0 2 0 2 0 0246 good good 246 0 2 0 2 0 0

247 good good 247 0 2 0 2 0 0248 indet indet 248 0 0 2 2 0 0249 good good 249 0 2 0 2 0 0250 bad indet 250 1 0 1 2 0.5 0251 good good 251 0 2 0 2 0 0252 good good 252 0 2 0 2 0 0253 bad bad 253 2 0 0 2 0 0254 good good 254 0 2 0 2 0 0255 good good 255 0 2 0 2 0 0256 indet indet 256 0 0 2 2 0 0257 good good 257 0 2 0 2 0 0258 bad bad 258 2 0 0 2 0 0259 good good 259 0 2 0 2 0 0260 good good 260 0 2 0 2 0 0261 indet indet 261 0 0 2 2 0 0262 bad bad 262 2 0 0 2 0 0263 indet indet 263 0 0 2 2 0 0264 good good 264 0 2 0 2 0 0265 good good 265 0 2 0 2 0 0266 indet indet 266 0 0 2 2 0 0267 good good 267 0 2 0 2 0 0268 indet indet 268 0 0 2 2 0 0269 indet indet 269 0 0 2 2 0 0270 good good 270 0 2 0 2 0 0271 good good 271 0 2 0 2 0 0272 good good 272 0 2 0 2 0 0273 bad bad 273 2 0 0 2 0 0274 indet indet 274 0 0 2 2 0 0275 bad bad 275 2 0 0 2 0 0276 good good 276 0 2 0 2 0 0277 good good 277 0 2 0 2 0 0278 good good 278 0 2 0 2 0 0279 good good 279 0 2 0 2 0 0280 good good 280 0 2 0 2 0 0281 good good 281 0 2 0 2 0 0282 good good 282 0 2 0 2 0 0283 good good 283 0 2 0 2 0 0284 good good 284 0 2 0 2 0 0285 indet bad 285 1 0 1 2 0.5 0286 bad bad 286 2 0 0 2 0 0287 indet bad 287 1 0 1 2 0.5 0288 indet indet 288 0 0 2 2 0 0289 good good 289 0 2 0 2 0 0290 bad bad 290 2 0 0 2 0 0291 good good 291 0 2 0 2 0 0292 indet indet 292 0 0 2 2 0 0293 indet indet 293 0 0 2 2 0 0294 good good 294 0 2 0 2 0 0295 indet indet 295 0 0 2 2 0 0296 bad bad 296 2 0 0 2 0 0297 good good 297 0 2 0 2 0 0298 good good 298 0 2 0 2 0 0299 good good 299 0 2 0 2 0 0300 good good 300 0 2 0 2 0 0301 good good 301 0 2 0 2 0 0302 bad bad 302 2 0 0 2 0 0303 good good 303 0 2 0 2 0 0304 indet indet 304 0 0 2 2 0 0305 indet indet 305 0 0 2 2 0 0306 good good 306 0 2 0 2 0 0307 good good 307 0 2 0 2 0 0308 indet bad 308 1 0 1 2 0.5 0

309 indet indet 309 0 0 2 2 0 0310 bad bad 310 2 0 0 2 0 0311 indet good 311 0 1 1 2 0 0.5312 indet indet 312 0 0 2 2 0 0313 indet indet 313 0 0 2 2 0 0314 indet indet 314 0 0 2 2 0 0315 good good 315 0 2 0 2 0 0316 bad bad 316 2 0 0 2 0 0317 good good 317 0 2 0 2 0 0318 good good 318 0 2 0 2 0 0319 good good 319 0 2 0 2 0 0320 indet indet 320 0 0 2 2 0 0321 bad bad 321 2 0 0 2 0 0322 bad bad 322 2 0 0 2 0 0323 good good 323 0 2 0 2 0 0324 indet indet 324 0 0 2 2 0 0325 indet good 325 0 1 1 2 0 0.5326 good good 326 0 2 0 2 0 0327 good good 327 0 2 0 2 0 0328 good good 328 0 2 0 2 0 0329 indet indet 329 0 0 2 2 0 0330 indet indet 330 0 0 2 2 0 0331 indet good 331 0 1 1 2 0 0.5332 indet good 332 0 1 1 2 0 0.5333 bad bad 333 2 0 0 2 0 0334 indet indet 334 0 0 2 2 0 0335 bad bad 335 2 0 0 2 0 0336 good good 336 0 2 0 2 0 0337 good good 337 0 2 0 2 0 0338 bad bad 338 2 0 0 2 0 0339 indet bad 339 1 0 1 2 0.5 0340 indet indet 340 0 0 2 2 0 0341 indet bad 341 1 0 1 2 0.5 0342 indet indet 342 0 0 2 2 0 0343 indet good 343 0 1 1 2 0 0.5344 indet indet 344 0 0 2 2 0 0345 good good 345 0 2 0 2 0 0346 good good 346 0 2 0 2 0 0347 good good 347 0 2 0 2 0 0348 indet indet 348 0 0 2 2 0 0349 good good 349 0 2 0 2 0 0350 good indet 350 0 1 1 2 0 0.5351 indet good 351 0 1 1 2 0 0.5352 good good 352 0 2 0 2 0 0353 good good 353 0 2 0 2 0 0354 bad bad 354 2 0 0 2 0 0355 good good 355 0 2 0 2 0 0356 bad bad 356 2 0 0 2 0 0357 good good 357 0 2 0 2 0 0358 indet good 358 0 1 1 2 0 0.5359 good good 359 0 2 0 2 0 0360 bad bad 360 2 0 0 2 0 0361 indet indet 361 0 0 2 2 0 0362 good good 362 0 2 0 2 0 0363 indet indet 363 0 0 2 2 0 0364 good good 364 0 2 0 2 0 0365 indet indet 365 0 0 2 2 0 0366 good good 366 0 2 0 2 0 0367 good good 367 0 2 0 2 0 0368 bad bad 368 2 0 0 2 0 0369 indet bad 369 1 0 1 2 0.5 0370 indet indet 370 0 0 2 2 0 0

371 indet good 371 0 1 1 2 0 0.5372 good good 372 0 2 0 2 0 0373 good good 373 0 2 0 2 0 0374 indet indet 374 0 0 2 2 0 0375 bad bad 375 2 0 0 2 0 0376 bad bad 376 2 0 0 2 0 0377 good good 377 0 2 0 2 0 0378 good good 378 0 2 0 2 0 0379 bad bad 379 2 0 0 2 0 0380 good good 380 0 2 0 2 0 0381 good good 381 0 2 0 2 0 0382 bad bad 382 2 0 0 2 0 0383 indet indet 383 0 0 2 2 0 0384 indet indet 384 0 0 2 2 0 0385 good good 385 0 2 0 2 0 0386 good good 386 0 2 0 2 0 0387 indet good 387 0 1 1 2 0 0.5388 indet indet 388 0 0 2 2 0 0389 good good 389 0 2 0 2 0 0390 good good 390 0 2 0 2 0 0391 good good 391 0 2 0 2 0 0392 indet indet 392 0 0 2 2 0 0393 bad bad 393 2 0 0 2 0 0394 good good 394 0 2 0 2 0 0395 good good 395 0 2 0 2 0 0396 bad bad 396 2 0 0 2 0 0397 indet indet 397 0 0 2 2 0 0398 indet indet 398 0 0 2 2 0 0399 indet bad 399 1 0 1 2 0.5 0400 good good 400 0 2 0 2 0 0401 good good 401 0 2 0 2 0 0402 indet indet 402 0 0 2 2 0 0403 indet indet 403 0 0 2 2 0 0404 indet indet 404 0 0 2 2 0 0405 indet indet 405 0 0 2 2 0 0406 indet indet 406 0 0 2 2 0 0407 good good 407 0 2 0 2 0 0408 indet indet 408 0 0 2 2 0 0409 good good 409 0 2 0 2 0 0410 good good 410 0 2 0 2 0 0411 indet indet 411 0 0 2 2 0 0412 good good 412 0 2 0 2 0 0413 good good 413 0 2 0 2 0 0414 good good 414 0 2 0 2 0 0415 bad bad 415 2 0 0 2 0 0416 good good 416 0 2 0 2 0 0417 indet bad 417 1 0 1 2 0.5 0418 bad bad 418 2 0 0 2 0 0419 good good 419 0 2 0 2 0 0420 indet indet 420 0 0 2 2 0 0421 good good 421 0 2 0 2 0 0422 good good 422 0 2 0 2 0 0423 good good 423 0 2 0 2 0 0424 good good 424 0 2 0 2 0 0425 good good 425 0 2 0 2 0 0426 good good 426 0 2 0 2 0 0427 good good 427 0 2 0 2 0 0428 good good 428 0 2 0 2 0 0429 good good 429 0 2 0 2 0 0430 indet indet 430 0 0 2 2 0 0431 good good 431 0 2 0 2 0 0432 bad bad 432 2 0 0 2 0 0

433 indet indet 433 0 0 2 2 0 0434 good good 434 0 2 0 2 0 0435 indet indet 435 0 0 2 2 0 0436 good good 436 0 2 0 2 0 0437 good good 437 0 2 0 2 0 0438 good good 438 0 2 0 2 0 0439 bad bad 439 2 0 0 2 0 0440 indet indet 440 0 0 2 2 0 0441 good good 441 0 2 0 2 0 0442 bad bad 442 2 0 0 2 0 0443 indet good 443 0 1 1 2 0 0.5444 indet indet 444 0 0 2 2 0 0445 indet indet 445 0 0 2 2 0 0446 good good 446 0 2 0 2 0 0447 bad bad 447 2 0 0 2 0 0448 good good 448 0 2 0 2 0 0449 good good 449 0 2 0 2 0 0450 indet indet 450 0 0 2 2 0 0451 good good 451 0 2 0 2 0 0452 good good 452 0 2 0 2 0 0453 good good 453 0 2 0 2 0 0454 good good 454 0 2 0 2 0 0455 bad bad 455 2 0 0 2 0 0456 good good 456 0 2 0 2 0 0457 indet indet 457 0 0 2 2 0 0458 good good 458 0 2 0 2 0 0459 bad bad 459 2 0 0 2 0 0460 good good 460 0 2 0 2 0 0461 indet indet 461 0 0 2 2 0 0462 bad bad 462 2 0 0 2 0 0463 indet indet 463 0 0 2 2 0 0464 good good 464 0 2 0 2 0 0465 good good 465 0 2 0 2 0 0466 indet indet 466 0 0 2 2 0 0467 bad bad 467 2 0 0 2 0 0468 indet indet 468 0 0 2 2 0 0469 indet good 469 0 1 1 2 0 0.5470 good good 470 0 2 0 2 0 0471 indet indet 471 0 0 2 2 0 0472 bad bad 472 2 0 0 2 0 0473 bad bad 473 2 0 0 2 0 0474 good good 474 0 2 0 2 0 0475 indet indet 475 0 0 2 2 0 0476 bad bad 476 2 0 0 2 0 0477 good good 477 0 2 0 2 0 0478 indet indet 478 0 0 2 2 0 0479 good good 479 0 2 0 2 0 0480 indet indet 480 0 0 2 2 0 0481 good good 481 0 2 0 2 0 0482 bad bad 482 2 0 0 2 0 0483 indet indet 483 0 0 2 2 0 0484 good good 484 0 2 0 2 0 0485 good good 485 0 2 0 2 0 0486 indet indet 486 0 0 2 2 0 0487 good good 487 0 2 0 2 0 0488 bad indet 488 1 0 1 2 0.5 0489 good good 489 0 2 0 2 0 0490 good good 490 0 2 0 2 0 0491 good good 491 0 2 0 2 0 0492 bad bad 492 2 0 0 2 0 0493 good good 493 0 2 0 2 0 0494 good good 494 0 2 0 2 0 0

495 good indet 495 0 1 1 2 0 0.5496 indet indet 496 0 0 2 2 0 0497 bad bad 497 2 0 0 2 0 0498 good good 498 0 2 0 2 0 0499 good good 499 0 2 0 2 0 0500 good good 500 0 2 0 2 0 0501 bad bad 501 2 0 0 2 0 0502 indet indet 502 0 0 2 2 0 0503 good good 503 0 2 0 2 0 0504 indet bad 504 1 0 1 2 0.5 0505 bad bad 505 2 0 0 2 0 0506 good good 506 0 2 0 2 0 0507 good good 507 0 2 0 2 0 0508 indet bad 508 1 0 1 2 0.5 0509 indet indet 509 0 0 2 2 0 0510 good good 510 0 2 0 2 0 0511 indet bad 511 1 0 1 2 0.5 0512 good good 512 0 2 0 2 0 0513 good good 513 0 2 0 2 0 0514 bad bad 514 2 0 0 2 0 0515 good good 515 0 2 0 2 0 0516 indet indet 516 0 0 2 2 0 0517 good good 517 0 2 0 2 0 0518 indet indet 518 0 0 2 2 0 0519 indet indet 519 0 0 2 2 0 0520 good good 520 0 2 0 2 0 0521 good good 521 0 2 0 2 0 0522 indet indet 522 0 0 2 2 0 0523 bad bad 523 2 0 0 2 0 0524 good good 524 0 2 0 2 0 0525 indet good 525 0 1 1 2 0 0.5526 indet indet 526 0 0 2 2 0 0527 good good 527 0 2 0 2 0 0528 good good 528 0 2 0 2 0 0529 bad bad 529 2 0 0 2 0 0530 indet indet 530 0 0 2 2 0 0531 indet bad 531 1 0 1 2 0.5 0532 indet indet 532 0 0 2 2 0 0533 good good 533 0 2 0 2 0 0534 good good 534 0 2 0 2 0 0535 good good 535 0 2 0 2 0 0536 indet indet 536 0 0 2 2 0 0537 indet indet 537 0 0 2 2 0 0538 good good 538 0 2 0 2 0 0539 bad bad 539 2 0 0 2 0 0540 indet indet 540 0 0 2 2 0 0541 indet indet 541 0 0 2 2 0 0542 indet good 542 0 1 1 2 0 0.5543 indet indet 543 0 0 2 2 0 0544 good good 544 0 2 0 2 0 0545 good good 545 0 2 0 2 0 0546 bad bad 546 2 0 0 2 0 0547 indet good 547 0 1 1 2 0 0.5548 good good 548 0 2 0 2 0 0549 bad bad 549 2 0 0 2 0 0550 good good 550 0 2 0 2 0 0551 good good 551 0 2 0 2 0 0552 good good 552 0 2 0 2 0 0553 indet indet 553 0 0 2 2 0 0554 indet indet 554 0 0 2 2 0 0555 indet indet 555 0 0 2 2 0 0556 indet indet 556 0 0 2 2 0 0

557 bad bad 557 2 0 0 2 0 0558 indet indet 558 0 0 2 2 0 0559 bad bad 559 2 0 0 2 0 0560 indet good 560 0 1 1 2 0 0.5561 indet indet 561 0 0 2 2 0 0562 bad bad 562 2 0 0 2 0 0563 indet indet 563 0 0 2 2 0 0564 bad bad 564 2 0 0 2 0 0565 indet indet 565 0 0 2 2 0 0566 indet indet 566 0 0 2 2 0 0567 indet bad 567 1 0 1 2 0.5 0568 good good 568 0 2 0 2 0 0569 indet indet 569 0 0 2 2 0 0570 bad bad 570 2 0 0 2 0 0571 bad bad 571 2 0 0 2 0 0572 indet good 572 0 1 1 2 0 0.5573 good good 573 0 2 0 2 0 0574 bad bad 574 2 0 0 2 0 0575 indet indet 575 0 0 2 2 0 0576 indet good 576 0 1 1 2 0 0.5577 good good 577 0 2 0 2 0 0578 good good 578 0 2 0 2 0 0579 bad bad 579 2 0 0 2 0 0580 indet good 580 0 1 1 2 0 0.5581 indet good 581 0 1 1 2 0 0.5582 indet indet 582 0 0 2 2 0 0583 indet good 583 0 1 1 2 0 0.5584 bad bad 584 2 0 0 2 0 0585 good good 585 0 2 0 2 0 0586 bad bad 586 2 0 0 2 0 0587 indet indet 587 0 0 2 2 0 0588 indet indet 588 0 0 2 2 0 0589 bad indet 589 1 0 1 2 0.5 0590 good good 590 0 2 0 2 0 0591 indet indet 591 0 0 2 2 0 0592 bad bad 592 2 0 0 2 0 0593 good good 593 0 2 0 2 0 0594 bad bad 594 2 0 0 2 0 0595 indet indet 595 0 0 2 2 0 0596 bad bad 596 2 0 0 2 0 0597 bad bad 597 2 0 0 2 0 0598 indet indet 598 0 0 2 2 0 0599 good good 599 0 2 0 2 0 0600 good good 600 0 2 0 2 0 0601 good good 601 0 2 0 2 0 0602 indet indet 602 0 0 2 2 0 0603 bad bad 603 2 0 0 2 0 0604 indet indet 604 0 0 2 2 0 0605 indet indet 605 0 0 2 2 0 0606 bad bad 606 2 0 0 2 0 0607 good good 607 0 2 0 2 0 0608 bad bad 608 2 0 0 2 0 0609 good good 609 0 2 0 2 0 0610 good good 610 0 2 0 2 0 0611 bad bad 611 2 0 0 2 0 0612 good good 612 0 2 0 2 0 0613 indet indet 613 0 0 2 2 0 0614 indet indet 614 0 0 2 2 0 0615 good good 615 0 2 0 2 0 0616 bad bad 616 2 0 0 2 0 0617 indet bad 617 1 0 1 2 0.5 0618 indet indet 618 0 0 2 2 0 0

619 bad bad 619 2 0 0 2 0 0620 indet indet 620 0 0 2 2 0 0621 good good 621 0 2 0 2 0 0622 indet indet 622 0 0 2 2 0 0623 indet indet 623 0 0 2 2 0 0624 bad bad 624 2 0 0 2 0 0625 indet indet 625 0 0 2 2 0 0626 good good 626 0 2 0 2 0 0627 good good 627 0 2 0 2 0 0628 indet indet 628 0 0 2 2 0 0629 good good 629 0 2 0 2 0 0630 good good 630 0 2 0 2 0 0631 indet indet 631 0 0 2 2 0 0632 bad bad 632 2 0 0 2 0 0633 indet indet 633 0 0 2 2 0 0634 indet indet 634 0 0 2 2 0 0635 bad bad 635 2 0 0 2 0 0636 indet indet 636 0 0 2 2 0 0637 good good 637 0 2 0 2 0 0638 indet bad 638 1 0 1 2 0.5 0639 indet good 639 0 1 1 2 0 0.5640 indet bad 640 1 0 1 2 0.5 0641 bad bad 641 2 0 0 2 0 0642 indet indet 642 0 0 2 2 0 0643 good good 643 0 2 0 2 0 0644 good good 644 0 2 0 2 0 0645 indet indet 645 0 0 2 2 0 0646 indet indet 646 0 0 2 2 0 0647 bad bad 647 2 0 0 2 0 0648 indet good 648 0 1 1 2 0 0.5649 indet bad 649 1 0 1 2 0.5 0650 bad bad 650 2 0 0 2 0 0651 bad bad 651 2 0 0 2 0 0652 indet indet 652 0 0 2 2 0 0653 bad bad 653 2 0 0 2 0 0654 indet bad 654 1 0 1 2 0.5 0655 good good 655 0 2 0 2 0 0656 bad bad 656 2 0 0 2 0 0657 bad bad 657 2 0 0 2 0 0658 indet indet 658 0 0 2 2 0 0659 bad bad 659 2 0 0 2 0 0660 indet indet 660 0 0 2 2 0 0661 good good 661 0 2 0 2 0 0662 indet bad 662 1 0 1 2 0.5 0663 good good 663 0 2 0 2 0 0664 indet indet 664 0 0 2 2 0 0665 good good 665 0 2 0 2 0 0666 indet indet 666 0 0 2 2 0 0667 indet bad 667 1 0 1 2 0.5 0668 indet bad 668 1 0 1 2 0.5 0669 bad bad 669 2 0 0 2 0 0670 good good 670 0 2 0 2 0 0671 good good 671 0 2 0 2 0 0672 good good 672 0 2 0 2 0 0673 indet bad 673 1 0 1 2 0.5 0674 good good 674 0 2 0 2 0 0675 good good 675 0 2 0 2 0 0676 good good 676 0 2 0 2 0 0677 good good 677 0 2 0 2 0 0678 indet bad 678 1 0 1 2 0.5 0679 indet indet 679 0 0 2 2 0 0680 indet good 680 0 1 1 2 0 0.5

681 indet indet 681 0 0 2 2 0 0682 good good 682 0 2 0 2 0 0683 indet good 683 0 1 1 2 0 0.5684 good good 684 0 2 0 2 0 0685 indet indet 685 0 0 2 2 0 0686 indet bad 686 1 0 1 2 0.5 0687 good good 687 0 2 0 2 0 0688 bad bad 688 2 0 0 2 0 0689 good good 689 0 2 0 2 0 0690 good indet 690 0 1 1 2 0 0.5691 indet bad 691 1 0 1 2 0.5 0692 indet indet 692 0 0 2 2 0 0693 indet indet 693 0 0 2 2 0 0694 good good 694 0 2 0 2 0 0695 good good 695 0 2 0 2 0 0696 good good 696 0 2 0 2 0 0697 good good 697 0 2 0 2 0 0698 good good 698 0 2 0 2 0 0699 good good 699 0 2 0 2 0 0700 indet indet 700 0 0 2 2 0 0701 indet good 701 0 1 1 2 0 0.5702 indet indet 702 0 0 2 2 0 0703 indet good 703 0 1 1 2 0 0.5704 indet indet 704 0 0 2 2 0 0705 indet bad 705 1 0 1 2 0.5 0706 indet good 706 0 1 1 2 0 0.5707 indet bad 707 1 0 1 2 0.5 0708 bad bad 708 2 0 0 2 0 0709 indet indet 709 0 0 2 2 0 0710 good good 710 0 2 0 2 0 0711 good good 711 0 2 0 2 0 0712 bad bad 712 2 0 0 2 0 0713 good good 713 0 2 0 2 0 0714 indet good 714 0 1 1 2 0 0.5715 bad bad 715 2 0 0 2 0 0716 good good 716 0 2 0 2 0 0717 good good 717 0 2 0 2 0 0718 good good 718 0 2 0 2 0 0719 good good 719 0 2 0 2 0 0720 indet indet 720 0 0 2 2 0 0721 indet indet 721 0 0 2 2 0 0722 bad bad 722 2 0 0 2 0 0723 bad bad 723 2 0 0 2 0 0724 indet good 724 0 1 1 2 0 0.5725 indet indet 725 0 0 2 2 0 0726 good good 726 0 2 0 2 0 0727 good good 727 0 2 0 2 0 0728 bad bad 728 2 0 0 2 0 0729 bad bad 729 2 0 0 2 0 0730 good good 730 0 2 0 2 0 0731 indet indet 731 0 0 2 2 0 0732 indet bad 732 1 0 1 2 0.5 0733 good good 733 0 2 0 2 0 0734 good good 734 0 2 0 2 0 0735 good good 735 0 2 0 2 0 0736 bad bad 736 2 0 0 2 0 0737 indet bad 737 1 0 1 2 0.5 0738 indet indet 738 0 0 2 2 0 0739 good good 739 0 2 0 2 0 0740 bad bad 740 2 0 0 2 0 0741 bad bad 741 2 0 0 2 0 0742 indet bad 742 1 0 1 2 0.5 0

743 good good 743 0 2 0 2 0 0744 bad bad 744 2 0 0 2 0 0745 indet bad 745 1 0 1 2 0.5 0746 indet indet 746 0 0 2 2 0 0747 bad bad 747 2 0 0 2 0 0748 bad bad 748 2 0 0 2 0 0749 good good 749 0 2 0 2 0 0750 good good 750 0 2 0 2 0 0751 indet indet 751 0 0 2 2 0 0752 bad bad 752 2 0 0 2 0 0753 indet indet 753 0 0 2 2 0 0754 indet good 754 0 1 1 2 0 0.5755 good good 755 0 2 0 2 0 0756 bad bad 756 2 0 0 2 0 0757 good good 757 0 2 0 2 0 0758 good good 758 0 2 0 2 0 0759 good good 759 0 2 0 2 0 0760 indet bad 760 1 0 1 2 0.5 0761 good good 761 0 2 0 2 0 0762 indet indet 762 0 0 2 2 0 0763 indet indet 763 0 0 2 2 0 0764 indet good 764 0 1 1 2 0 0.5765 good good 765 0 2 0 2 0 0766 good good 766 0 2 0 2 0 0767 bad bad 767 2 0 0 2 0 0768 good good 768 0 2 0 2 0 0769 good good 769 0 2 0 2 0 0770 good good 770 0 2 0 2 0 0771 indet good 771 0 1 1 2 0 0.5772 bad bad 772 2 0 0 2 0 0773 good good 773 0 2 0 2 0 0774 good good 774 0 2 0 2 0 0775 good good 775 0 2 0 2 0 0776 bad bad 776 2 0 0 2 0 0777 good good 777 0 2 0 2 0 0778 indet good 778 0 1 1 2 0 0.5779 good good 779 0 2 0 2 0 0780 indet indet 780 0 0 2 2 0 0781 good good 781 0 2 0 2 0 0782 good good 782 0 2 0 2 0 0783 indet good 783 0 1 1 2 0 0.5784 bad bad 784 2 0 0 2 0 0785 good good 785 0 2 0 2 0 0786 good good 786 0 2 0 2 0 0787 good good 787 0 2 0 2 0 0788 good good 788 0 2 0 2 0 0789 bad bad 789 2 0 0 2 0 0790 bad bad 790 2 0 0 2 0 0791 indet indet 791 0 0 2 2 0 0792 good good 792 0 2 0 2 0 0793 good good 793 0 2 0 2 0 0794 indet indet 794 0 0 2 2 0 0795 indet good 795 0 1 1 2 0 0.5796 good good 796 0 2 0 2 0 0797 good good 797 0 2 0 2 0 0798 good good 798 0 2 0 2 0 0799 good good 799 0 2 0 2 0 0800 good good 800 0 2 0 2 0 0801 indet indet 801 0 0 2 2 0 0802 indet good 802 0 1 1 2 0 0.5803 indet indet 803 0 0 2 2 0 0804 good good 804 0 2 0 2 0 0

805 indet indet 805 0 0 2 2 0 0806 bad bad 806 2 0 0 2 0 0807 good good 807 0 2 0 2 0 0808 good good 808 0 2 0 2 0 0809 bad bad 809 2 0 0 2 0 0810 bad bad 810 2 0 0 2 0 0811 indet indet 811 0 0 2 2 0 0812 good good 812 0 2 0 2 0 0813 indet indet 813 0 0 2 2 0 0814 bad bad 814 2 0 0 2 0 0815 bad bad 815 2 0 0 2 0 0816 bad bad 816 2 0 0 2 0 0817 good good 817 0 2 0 2 0 0818 good good 818 0 2 0 2 0 0819 bad bad 819 2 0 0 2 0 0820 bad bad 820 2 0 0 2 0 0821 good good 821 0 2 0 2 0 0822 good good 822 0 2 0 2 0 0823 indet bad 823 1 0 1 2 0.5 0824 indet indet 824 0 0 2 2 0 0825 good good 825 0 2 0 2 0 0826 indet bad 826 1 0 1 2 0.5 0827 bad bad 827 2 0 0 2 0 0828 indet indet 828 0 0 2 2 0 0829 indet indet 829 0 0 2 2 0 0830 indet indet 830 0 0 2 2 0 0831 good good 831 0 2 0 2 0 0832 bad bad 832 2 0 0 2 0 0833 bad bad 833 2 0 0 2 0 0834 good good 834 0 2 0 2 0 0835 good good 835 0 2 0 2 0 0836 bad bad 836 2 0 0 2 0 0837 good good 837 0 2 0 2 0 0838 good good 838 0 2 0 2 0 0839 good good 839 0 2 0 2 0 0840 good good 840 0 2 0 2 0 0841 indet bad 841 1 0 1 2 0.5 0842 good good 842 0 2 0 2 0 0843 indet indet 843 0 0 2 2 0 0844 indet indet 844 0 0 2 2 0 0845 good indet 845 0 1 1 2 0 0.5846 good good 846 0 2 0 2 0 0847 indet good 847 0 1 1 2 0 0.5848 indet indet 848 0 0 2 2 0 0849 good good 849 0 2 0 2 0 0850 indet indet 850 0 0 2 2 0 0851 indet indet 851 0 0 2 2 0 0852 good good 852 0 2 0 2 0 0853 good good 853 0 2 0 2 0 0854 bad bad 854 2 0 0 2 0 0855 indet indet 855 0 0 2 2 0 0856 indet indet 856 0 0 2 2 0 0857 good good 857 0 2 0 2 0 0858 good good 858 0 2 0 2 0 0859 bad bad 859 2 0 0 2 0 0860 good good 860 0 2 0 2 0 0861 good good 861 0 2 0 2 0 0862 good good 862 0 2 0 2 0 0863 indet indet 863 0 0 2 2 0 0864 good good 864 0 2 0 2 0 0865 good good 865 0 2 0 2 0 0866 good good 866 0 2 0 2 0 0

867 bad bad 867 2 0 0 2 0 0868 good good 868 0 2 0 2 0 0869 good good 869 0 2 0 2 0 0870 bad bad 870 2 0 0 2 0 0871 good good 871 0 2 0 2 0 0872 good good 872 0 2 0 2 0 0873 good good 873 0 2 0 2 0 0874 indet good 874 0 1 1 2 0 0.5875 indet indet 875 0 0 2 2 0 0876 indet indet 876 0 0 2 2 0 0877 bad bad 877 2 0 0 2 0 0878 indet good 878 0 1 1 2 0 0.5879 bad bad 879 2 0 0 2 0 0880 good good 880 0 2 0 2 0 0881 good good 881 0 2 0 2 0 0882 good good 882 0 2 0 2 0 0883 indet good 883 0 1 1 2 0 0.5884 good good 884 0 2 0 2 0 0885 indet indet 885 0 0 2 2 0 0886 bad bad 886 2 0 0 2 0 0887 good good 887 0 2 0 2 0 0888 bad bad 888 2 0 0 2 0 0889 indet indet 889 0 0 2 2 0 0890 good good 890 0 2 0 2 0 0891 indet bad 891 1 0 1 2 0.5 0892 good good 892 0 2 0 2 0 0893 indet indet 893 0 0 2 2 0 0894 indet good 894 0 1 1 2 0 0.5895 good good 895 0 2 0 2 0 0896 good good 896 0 2 0 2 0 0897 bad bad 897 2 0 0 2 0 0898 good good 898 0 2 0 2 0 0899 good good 899 0 2 0 2 0 0900 bad indet 900 1 0 1 2 0.5 0901 indet good 901 0 1 1 2 0 0.5902 good good 902 0 2 0 2 0 0903 good good 903 0 2 0 2 0 0904 good good 904 0 2 0 2 0 0905 good good 905 0 2 0 2 0 0906 indet indet 906 0 0 2 2 0 0907 good good 907 0 2 0 2 0 0908 indet indet 908 0 0 2 2 0 0909 good good 909 0 2 0 2 0 0910 good good 910 0 2 0 2 0 0911 indet indet 911 0 0 2 2 0 0912 indet indet 912 0 0 2 2 0 0913 indet good 913 0 1 1 2 0 0.5914 good good 914 0 2 0 2 0 0915 bad bad 915 2 0 0 2 0 0916 bad bad 916 2 0 0 2 0 0917 good good 917 0 2 0 2 0 0918 bad bad 918 2 0 0 2 0 0919 indet indet 919 0 0 2 2 0 0920 indet bad 920 1 0 1 2 0.5 0921 indet indet 921 0 0 2 2 0 0922 indet indet 922 0 0 2 2 0 0923 bad bad 923 2 0 0 2 0 0924 indet indet 924 0 0 2 2 0 0925 bad bad 925 2 0 0 2 0 0926 bad bad 926 2 0 0 2 0 0927 bad bad 927 2 0 0 2 0 0928 bad bad 928 2 0 0 2 0 0

929 good good 929 0 2 0 2 0 0930 indet bad 930 1 0 1 2 0.5 0931 indet bad 931 1 0 1 2 0.5 0932 indet indet 932 0 0 2 2 0 0933 good good 933 0 2 0 2 0 0934 good good 934 0 2 0 2 0 0935 bad bad 935 2 0 0 2 0 0936 bad bad 936 2 0 0 2 0 0937 good good 937 0 2 0 2 0 0938 indet indet 938 0 0 2 2 0 0939 bad bad 939 2 0 0 2 0 0940 good good 940 0 2 0 2 0 0941 good good 941 0 2 0 2 0 0942 good good 942 0 2 0 2 0 0943 good good 943 0 2 0 2 0 0944 good good 944 0 2 0 2 0 0945 indet indet 945 0 0 2 2 0 0946 bad bad 946 2 0 0 2 0 0947 bad bad 947 2 0 0 2 0 0948 good good 948 0 2 0 2 0 0949 indet indet 949 0 0 2 2 0 0950 good good 950 0 2 0 2 0 0951 indet good 951 0 1 1 2 0 0.5952 indet indet 952 0 0 2 2 0 0953 indet indet 953 0 0 2 2 0 0954 bad bad 954 2 0 0 2 0 0955 indet indet 955 0 0 2 2 0 0956 indet indet 956 0 0 2 2 0 0957 good good 957 0 2 0 2 0 0958 good good 958 0 2 0 2 0 0959 bad bad 959 2 0 0 2 0 0960 indet indet 960 0 0 2 2 0 0961 good good 961 0 2 0 2 0 0962 indet indet 962 0 0 2 2 0 0963 indet good 963 0 1 1 2 0 0.5964 good good 964 0 2 0 2 0 0965 indet indet 965 0 0 2 2 0 0966 indet indet 966 0 0 2 2 0 0967 indet good 967 0 1 1 2 0 0.5968 indet good 968 0 1 1 2 0 0.5969 good good 969 0 2 0 2 0 0970 indet indet 970 0 0 2 2 0 0971 good good 971 0 2 0 2 0 0972 indet indet 972 0 0 2 2 0 0973 bad bad 973 2 0 0 2 0 0974 bad bad 974 2 0 0 2 0 0975 good good 975 0 2 0 2 0 0976 indet good 976 0 1 1 2 0 0.5977 good good 977 0 2 0 2 0 0978 good good 978 0 2 0 2 0 0979 indet good 979 0 1 1 2 0 0.5980 bad bad 980 2 0 0 2 0 0981 indet good 981 0 1 1 2 0 0.5982 indet indet 982 0 0 2 2 0 0983 indet indet 983 0 0 2 2 0 0984 indet bad 984 1 0 1 2 0.5 0985 good good 985 0 2 0 2 0 0986 bad bad 986 2 0 0 2 0 0987 bad bad 987 2 0 0 2 0 0988 good good 988 0 2 0 2 0 0989 indet bad 989 1 0 1 2 0.5 0990 indet indet 990 0 0 2 2 0 0

991 good good 991 0 2 0 2 0 0992 indet indet 992 0 0 2 2 0 0993 indet indet 993 0 0 2 2 0 0994 bad bad 994 2 0 0 2 0 0995 good good 995 0 2 0 2 0 0996 good good 996 0 2 0 2 0 0997 indet bad 997 1 0 1 2 0.5 0998 good good 998 0 2 0 2 0 0999 bad bad 999 2 0 0 2 0 0

1000 indet indet ### 0 0 2 2 0 0

x_ic(m_i - x_ic)/m_iindet Calcul kappa par catégorie

00 Somme catégories (x_{.c})0 bad good indet0 439 907 65400 Moyenne des juges 200 Proprotion catégories (f_c)0 bad good indet0 0.2195 0.4535 0.327000 kappa par catégorie

0.5 bad good indet0 0.816133 0.852726 0.6910090

0.5 Calcul kappa global00 Pondération f_c (1 - f_c)

0.5 0.171320 0.247838 0.22007100 Produit : Kappa x pondération

0.5 0.139820 0.211338 0.15207100 Kappa généralisé 0.7872440

0.50.5

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0.500000000000

0.50

0.50

0.5000000000000

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0.500000000

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0.50

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0.500

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0.500000

0.5000

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0.500000000

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0.50

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0.5000000000000000000

0.5000000

0.500000000

0.5000

0.500

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0.50

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0.500

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0.5000

0.50.5

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0.500

0.50

0.500

0.50000

0.50

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0.5000

duration disc_durati credit_amoudisc_amoun X Y6 lo_1_year 1169 1000_2000 2 1

48 up_2_years 5951 up_2000 3 312 lo_1_year 2096 up_2000 3 142 up_2_years 7882 up_2000 3 324 1_2_years 4870 up_2000 3 236 up_2_years 9055 up_2000 3 324 1_2_years 2835 up_2000 3 236 up_2_years 6948 up_2000 3 312 lo_1_year 3059 up_2000 3 130 up_2_years 5234 up_2000 3 312 lo_1_year 1295 1000_2000 2 148 up_2_years 4308 up_2000 3 312 lo_1_year 1567 1000_2000 2 124 1_2_years 1199 1000_2000 2 215 1_2_years 1403 1000_2000 2 224 1_2_years 1282 1000_2000 2 224 1_2_years 2424 up_2000 3 230 up_2_years 8072 up_2000 3 324 1_2_years 12579 up_2000 3 224 1_2_years 3430 up_2000 3 2

9 lo_1_year 2134 up_2000 3 16 lo_1_year 2647 up_2000 3 1

10 lo_1_year 2241 up_2000 3 112 lo_1_year 1804 1000_2000 2 110 lo_1_year 2069 up_2000 3 1 Corrélation variables originelles

6 lo_1_year 1374 1000_2000 2 1 Corrélation6 lo_1_year 426 lo_1000 1 1 t

12 lo_1_year 409 lo_1000 1 1 p-value7 lo_1_year 2415 up_2000 3 1

60 up_2_years 6836 up_2000 3 318 1_2_years 1913 1000_2000 2 2 Corrélation variables codées24 1_2_years 4020 up_2000 3 2 Corrélation18 1_2_years 5866 up_2000 3 2 t12 lo_1_year 1264 1000_2000 2 1 p-value12 lo_1_year 1474 1000_2000 2 145 up_2_years 4746 up_2000 3 348 up_2_years 6110 up_2000 3 318 1_2_years 2100 up_2000 3 2 disc_duration10 lo_1_year 1225 1000_2000 2 1 lo_1_year

9 lo_1_year 458 lo_1000 1 1 1_2_years30 up_2_years 2333 up_2000 3 3 up_2_years12 lo_1_year 1158 1000_2000 2 1 Total18 1_2_years 6204 up_2000 3 230 up_2_years 6187 up_2000 3 348 up_2_years 6143 up_2000 3 3 Comptage paires concordantes et discordantes11 lo_1_year 1393 1000_2000 2 1 Case36 up_2_years 2299 up_2000 3 3 (1,1)

6 lo_1_year 1352 1000_2000 2 1 (1,2)11 lo_1_year 7228 up_2000 3 1 (1,3)12 lo_1_year 2073 up_2000 3 1 (2,1)24 1_2_years 2333 up_2000 3 2 (2,2)27 up_2_years 5965 up_2000 3 3 (2,3)12 lo_1_year 1262 1000_2000 2 1 (3,1)18 1_2_years 3378 up_2000 3 2 (3,2)36 up_2_years 2225 up_2000 3 3 (3,3)

6 lo_1_year 783 lo_1000 1 112 lo_1_year 6468 up_2000 3 136 up_2_years 9566 up_2000 3 318 1_2_years 1961 1000_2000 2 236 up_2_years 6229 up_2000 3 3

9 lo_1_year 1391 1000_2000 2 1

0 2000 4000 6000 8000 10000 12000 14000 16000 18000 200000

10

20

30

40

50

60

70

80

Amount vs. Duration

Amount

Dur

atio

n

15 1_2_years 1537 1000_2000 2 236 up_2_years 1953 1000_2000 2 348 up_2_years 14421 up_2000 3 324 1_2_years 3181 up_2000 3 227 up_2_years 5190 up_2000 3 312 lo_1_year 2171 up_2000 3 112 lo_1_year 1007 1000_2000 2 136 up_2_years 1819 1000_2000 2 336 up_2_years 2394 up_2000 3 336 up_2_years 8133 up_2000 3 3

7 lo_1_year 730 lo_1000 1 18 lo_1_year 1164 1000_2000 2 1

42 up_2_years 5954 up_2000 3 336 up_2_years 1977 1000_2000 2 312 lo_1_year 1526 1000_2000 2 142 up_2_years 3965 up_2000 3 311 lo_1_year 4771 up_2000 3 154 up_2_years 9436 up_2000 3 330 up_2_years 3832 up_2000 3 324 1_2_years 5943 up_2000 3 215 1_2_years 1213 1000_2000 2 218 1_2_years 1568 1000_2000 2 224 1_2_years 1755 1000_2000 2 210 lo_1_year 2315 up_2000 3 112 lo_1_year 1412 1000_2000 2 118 1_2_years 1295 1000_2000 2 236 up_2_years 12612 up_2000 3 318 1_2_years 2249 up_2000 3 212 lo_1_year 1108 1000_2000 2 112 lo_1_year 618 lo_1000 1 112 lo_1_year 1409 1000_2000 2 112 lo_1_year 797 lo_1000 1 124 1_2_years 3617 up_2000 3 212 lo_1_year 1318 1000_2000 2 154 up_2_years 15945 up_2000 3 312 lo_1_year 2012 up_2000 3 118 1_2_years 2622 up_2000 3 236 up_2_years 2337 up_2000 3 320 1_2_years 7057 up_2000 3 224 1_2_years 1469 1000_2000 2 236 up_2_years 2323 up_2000 3 3

6 lo_1_year 932 lo_1000 1 19 lo_1_year 1919 1000_2000 2 1

12 lo_1_year 2445 up_2000 3 124 1_2_years 11938 up_2000 3 218 1_2_years 6458 up_2000 3 212 lo_1_year 6078 up_2000 3 124 1_2_years 7721 up_2000 3 214 1_2_years 1410 1000_2000 2 2

6 lo_1_year 1449 1000_2000 2 115 1_2_years 392 lo_1000 1 218 1_2_years 6260 up_2000 3 236 up_2_years 7855 up_2000 3 312 lo_1_year 1680 1000_2000 2 148 up_2_years 3578 up_2000 3 342 up_2_years 7174 up_2000 3 310 lo_1_year 2132 up_2000 3 133 up_2_years 4281 up_2000 3 312 lo_1_year 2366 up_2000 3 121 1_2_years 1835 1000_2000 2 224 1_2_years 3868 up_2000 3 212 lo_1_year 1768 1000_2000 2 1

10 lo_1_year 781 lo_1000 1 118 1_2_years 1924 1000_2000 2 212 lo_1_year 2121 up_2000 3 112 lo_1_year 701 lo_1000 1 112 lo_1_year 639 lo_1000 1 112 lo_1_year 1860 1000_2000 2 112 lo_1_year 3499 up_2000 3 148 up_2_years 8487 up_2000 3 336 up_2_years 6887 up_2000 3 315 1_2_years 2708 up_2000 3 218 1_2_years 1984 1000_2000 2 260 up_2_years 10144 up_2000 3 312 lo_1_year 1240 1000_2000 2 127 up_2_years 8613 up_2000 3 312 lo_1_year 766 lo_1000 1 115 1_2_years 2728 up_2000 3 212 lo_1_year 1881 1000_2000 2 1

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24 1_2_years 2483 up_2000 3 239 up_2_years 14179 up_2000 3 313 1_2_years 1797 1000_2000 2 215 1_2_years 2511 up_2000 3 212 lo_1_year 1274 1000_2000 2 121 1_2_years 5248 up_2000 3 215 1_2_years 3029 up_2000 3 2

6 lo_1_year 428 lo_1000 1 118 1_2_years 976 lo_1000 1 212 lo_1_year 841 lo_1000 1 130 up_2_years 5771 up_2000 3 312 lo_1_year 1555 1000_2000 2 124 1_2_years 1285 1000_2000 2 2

6 lo_1_year 1299 1000_2000 2 115 1_2_years 1271 1000_2000 2 224 1_2_years 1393 1000_2000 2 212 lo_1_year 691 lo_1000 1 115 1_2_years 5045 up_2000 3 218 1_2_years 2124 up_2000 3 212 lo_1_year 2214 up_2000 3 121 1_2_years 12680 up_2000 3 224 1_2_years 2463 up_2000 3 212 lo_1_year 1155 1000_2000 2 130 up_2_years 3108 up_2000 3 310 lo_1_year 2901 up_2000 3 112 lo_1_year 3617 up_2000 3 112 lo_1_year 1655 1000_2000 2 124 1_2_years 2812 up_2000 3 236 up_2_years 8065 up_2000 3 321 1_2_years 3275 up_2000 3 224 1_2_years 2223 up_2000 3 212 lo_1_year 1480 1000_2000 2 124 1_2_years 1371 1000_2000 2 236 up_2_years 3535 up_2000 3 318 1_2_years 3509 up_2000 3 236 up_2_years 5711 up_2000 3 318 1_2_years 3872 up_2000 3 239 up_2_years 4933 up_2000 3 324 1_2_years 1940 1000_2000 2 212 lo_1_year 1410 1000_2000 2 112 lo_1_year 836 lo_1000 1 120 1_2_years 6468 up_2000 3 218 1_2_years 1941 1000_2000 2 222 1_2_years 2675 up_2000 3 248 up_2_years 2751 up_2000 3 348 up_2_years 6224 up_2000 3 340 up_2_years 5998 up_2000 3 321 1_2_years 1188 1000_2000 2 224 1_2_years 6313 up_2000 3 2

6 lo_1_year 1221 1000_2000 2 124 1_2_years 2892 up_2000 3 224 1_2_years 3062 up_2000 3 2

9 lo_1_year 2301 up_2000 3 118 1_2_years 7511 up_2000 3 212 lo_1_year 1258 1000_2000 2 124 1_2_years 717 lo_1000 1 2

9 lo_1_year 1549 1000_2000 2 124 1_2_years 1597 1000_2000 2 218 1_2_years 1795 1000_2000 2 220 1_2_years 4272 up_2000 3 212 lo_1_year 976 lo_1000 1 112 lo_1_year 7472 up_2000 3 1

36 up_2_years 9271 up_2000 3 36 lo_1_year 590 lo_1000 1 1

12 lo_1_year 930 lo_1000 1 142 up_2_years 9283 up_2000 3 315 1_2_years 1778 1000_2000 2 2

8 lo_1_year 907 lo_1000 1 16 lo_1_year 484 lo_1000 1 1

36 up_2_years 9629 up_2000 3 348 up_2_years 3051 up_2000 3 348 up_2_years 3931 up_2000 3 336 up_2_years 7432 up_2000 3 3

6 lo_1_year 1338 1000_2000 2 16 lo_1_year 1554 1000_2000 2 1

36 up_2_years 15857 up_2000 3 318 1_2_years 1345 1000_2000 2 212 lo_1_year 1101 1000_2000 2 112 lo_1_year 3016 up_2000 3 136 up_2_years 2712 up_2000 3 3

8 lo_1_year 731 lo_1000 1 118 1_2_years 3780 up_2000 3 221 1_2_years 1602 1000_2000 2 218 1_2_years 3966 up_2000 3 218 1_2_years 4165 up_2000 3 236 up_2_years 8335 up_2000 3 348 up_2_years 6681 up_2000 3 324 1_2_years 2375 up_2000 3 218 1_2_years 1216 1000_2000 2 245 up_2_years 11816 up_2000 3 324 1_2_years 5084 up_2000 3 215 1_2_years 2327 up_2000 3 212 lo_1_year 1082 1000_2000 2 112 lo_1_year 886 lo_1000 1 1

4 lo_1_year 601 lo_1000 1 124 1_2_years 2957 up_2000 3 224 1_2_years 2611 up_2000 3 236 up_2_years 5179 up_2000 3 321 1_2_years 2993 up_2000 3 218 1_2_years 1943 1000_2000 2 224 1_2_years 1559 1000_2000 2 218 1_2_years 3422 up_2000 3 221 1_2_years 3976 up_2000 3 218 1_2_years 6761 up_2000 3 224 1_2_years 1249 1000_2000 2 2

9 lo_1_year 1364 1000_2000 2 112 lo_1_year 709 lo_1000 1 120 1_2_years 2235 up_2000 3 224 1_2_years 4042 up_2000 3 215 1_2_years 1471 1000_2000 2 218 1_2_years 1442 1000_2000 2 236 up_2_years 10875 up_2000 3 324 1_2_years 1474 1000_2000 2 210 lo_1_year 894 lo_1000 1 115 1_2_years 3343 up_2000 3 215 1_2_years 3959 up_2000 3 2

9 lo_1_year 3577 up_2000 3 124 1_2_years 5804 up_2000 3 218 1_2_years 2169 up_2000 3 224 1_2_years 2439 up_2000 3 227 up_2_years 4526 up_2000 3 310 lo_1_year 2210 up_2000 3 115 1_2_years 2221 up_2000 3 218 1_2_years 2389 up_2000 3 2

12 lo_1_year 3331 up_2000 3 136 up_2_years 7409 up_2000 3 312 lo_1_year 652 lo_1000 1 136 up_2_years 7678 up_2000 3 3

6 lo_1_year 1343 1000_2000 2 124 1_2_years 1382 1000_2000 2 215 1_2_years 874 lo_1000 1 212 lo_1_year 3590 up_2000 3 111 lo_1_year 1322 1000_2000 2 118 1_2_years 1940 1000_2000 2 236 up_2_years 3595 up_2000 3 3

9 lo_1_year 1422 1000_2000 2 130 up_2_years 6742 up_2000 3 324 1_2_years 7814 up_2000 3 224 1_2_years 9277 up_2000 3 230 up_2_years 2181 up_2000 3 318 1_2_years 1098 1000_2000 2 224 1_2_years 4057 up_2000 3 212 lo_1_year 795 lo_1000 1 124 1_2_years 2825 up_2000 3 248 up_2_years 15672 up_2000 3 336 up_2_years 6614 up_2000 3 328 up_2_years 7824 up_2000 3 327 up_2_years 2442 up_2000 3 315 1_2_years 1829 1000_2000 2 212 lo_1_year 2171 up_2000 3 136 up_2_years 5800 up_2000 3 318 1_2_years 1169 1000_2000 2 236 up_2_years 8947 up_2000 3 321 1_2_years 2606 up_2000 3 212 lo_1_year 1592 1000_2000 2 115 1_2_years 2186 up_2000 3 218 1_2_years 4153 up_2000 3 216 1_2_years 2625 up_2000 3 220 1_2_years 3485 up_2000 3 236 up_2_years 10477 up_2000 3 315 1_2_years 1386 1000_2000 2 224 1_2_years 1278 1000_2000 2 212 lo_1_year 1107 1000_2000 2 121 1_2_years 3763 up_2000 3 236 up_2_years 3711 up_2000 3 315 1_2_years 3594 up_2000 3 2

9 lo_1_year 3195 up_2000 3 136 up_2_years 4454 up_2000 3 324 1_2_years 4736 up_2000 3 230 up_2_years 2991 up_2000 3 311 lo_1_year 2142 up_2000 3 124 1_2_years 3161 up_2000 3 248 up_2_years 18424 up_2000 3 310 lo_1_year 2848 up_2000 3 1

6 lo_1_year 14896 up_2000 3 124 1_2_years 2359 up_2000 3 224 1_2_years 3345 up_2000 3 218 1_2_years 1817 1000_2000 2 248 up_2_years 12749 up_2000 3 3

9 lo_1_year 1366 1000_2000 2 112 lo_1_year 2002 up_2000 3 124 1_2_years 6872 up_2000 3 212 lo_1_year 697 lo_1000 1 118 1_2_years 1049 1000_2000 2 248 up_2_years 10297 up_2000 3 330 up_2_years 1867 1000_2000 2 3

12 lo_1_year 1344 1000_2000 2 124 1_2_years 1747 1000_2000 2 2

9 lo_1_year 1670 1000_2000 2 19 lo_1_year 1224 1000_2000 2 1

12 lo_1_year 522 lo_1000 1 112 lo_1_year 1498 1000_2000 2 130 up_2_years 1919 1000_2000 2 3

9 lo_1_year 745 lo_1000 1 16 lo_1_year 2063 up_2000 3 1

60 up_2_years 6288 up_2000 3 324 1_2_years 6842 up_2000 3 212 lo_1_year 3527 up_2000 3 110 lo_1_year 1546 1000_2000 2 124 1_2_years 929 lo_1000 1 2

4 lo_1_year 1455 1000_2000 2 115 1_2_years 1845 1000_2000 2 248 up_2_years 8358 up_2000 3 324 1_2_years 3349 up_2000 3 212 lo_1_year 2859 up_2000 3 118 1_2_years 1533 1000_2000 2 224 1_2_years 3621 up_2000 3 218 1_2_years 3590 up_2000 3 236 up_2_years 2145 up_2000 3 324 1_2_years 4113 up_2000 3 236 up_2_years 10974 up_2000 3 312 lo_1_year 1893 1000_2000 2 124 1_2_years 1231 1000_2000 2 230 up_2_years 3656 up_2000 3 3

9 lo_1_year 1154 1000_2000 2 128 up_2_years 4006 up_2000 3 324 1_2_years 3069 up_2000 3 2

6 lo_1_year 1740 1000_2000 2 121 1_2_years 2353 up_2000 3 215 1_2_years 3556 up_2000 3 224 1_2_years 2397 up_2000 3 2

6 lo_1_year 454 lo_1000 1 130 up_2_years 1715 1000_2000 2 327 up_2_years 2520 up_2000 3 315 1_2_years 3568 up_2000 3 242 up_2_years 7166 up_2000 3 311 lo_1_year 3939 up_2000 3 115 1_2_years 1514 1000_2000 2 224 1_2_years 7393 up_2000 3 224 1_2_years 1193 1000_2000 2 260 up_2_years 7297 up_2000 3 330 up_2_years 2831 up_2000 3 324 1_2_years 1258 1000_2000 2 2

6 lo_1_year 753 lo_1000 1 118 1_2_years 2427 up_2000 3 224 1_2_years 2538 up_2000 3 215 1_2_years 1264 1000_2000 2 230 up_2_years 8386 up_2000 3 348 up_2_years 4844 up_2000 3 321 1_2_years 2923 up_2000 3 236 up_2_years 8229 up_2000 3 324 1_2_years 2028 up_2000 3 215 1_2_years 1433 1000_2000 2 242 up_2_years 6289 up_2000 3 313 1_2_years 1409 1000_2000 2 224 1_2_years 6579 up_2000 3 224 1_2_years 1743 1000_2000 2 212 lo_1_year 3565 up_2000 3 1

15 1_2_years 1569 1000_2000 2 218 1_2_years 1936 1000_2000 2 236 up_2_years 3959 up_2000 3 312 lo_1_year 2390 up_2000 3 112 lo_1_year 1736 1000_2000 2 130 up_2_years 3857 up_2000 3 312 lo_1_year 804 lo_1000 1 145 up_2_years 1845 1000_2000 2 345 up_2_years 4576 up_2000 3 3

Corrélation variables originelles0.6250

25.31740.0000

Corrélation variables codées0.5063

18.56750.0000

disc_amountlo_1000 1000_2000 up_2000 Total

93 161 105 35922 146 243 411

1 9 220 230116 316 568 1000

Comptage paires concordantes et discordantesn_{lc} C_{lc} n_{lc} x C_{lc} D_{lc} n_{lc} x D_{lc}

93 618 57474 0 0161 463 74543 23 3703105 0 0 178 18690

22 229 5038 266 5852146 313 45698 106 15476243 254 61722 10 2430

1 0 0 655 6559 115 1035 348 3132

220 422 92840 0 0P 338350 Q 49938

0 2000 4000 6000 8000 10000 12000 14000 16000 18000 200000

10

20

30

40

50

60

70

80

Amount vs. Duration

Amount

Dur

atio

n

lo_10001000_2000up_2000

0

50

100

150

200

250

lo_1

_yea

r1_

2_ye

ars

up_2

_yea

rs

Tableau de contingence

amount

Effectif

duration

lo_10001000_2000up_2000

0

50

100

150

200

250

lo_1

_yea

r1_

2_ye

ars

up_2

_yea

rs

Tableau de contingence

amount

Effectif

duration

P 338350 Calcul de la variance asymptotique (A)Q 49938 Case n_{lc} C_{lc} D_{lc}

(1,1) 93 618 0gamma 0.742779 (1,2) 161 463 23

(1,3) 105 0 178sigma^2 0.000692 (2,1) 22 229 266sigma 0.026313 (2,2) 146 313 106

(2,3) 243 254 10u(0.95) 1.644853627 (3,1) 1 0 655

(3,2) 9 115 348Intervalle de confiance (3,3) 220 422 0

B.Basse 0.699498B.Haute 0.786059

Calcul de la variance asymptotique sous H0 - Indépendance (B)Case n_{lc} C_{lc} D_{lc}

sigma^2 (H0) 0.001265 (1,1) 93 618 0sigma (H0) 0.035568 (1,2) 161 463 23

(1,3) 105 0 178Test de significativité (2,1) 22 229 266

z 20.883351 (2,2) 146 313 106p-value 0.000000 (2,3) 243 254 10

(3,1) 1 0 655(3,2) 9 115 348(3,3) 220 422 0

Calcul de la variance asymptotique (A)Q x C_{lc} P x D_{lc} Sum_l Sum c

30861684 0 8.8577E+1623121294 7782050 3.7882E+16

0 60226300 3.8086E+1711435802 90001100 1.3580E+1715630594 35865100 5.9778E+1612684252 3383500 2.1020E+16

0 221619250 4.9115E+165742870 117745800 1.1290E+17

21073836 0 9.7703E+16Somme 9.836297E+17

Calcul de la variance asymptotique sous H0 - Indépendance (B)(C_{lc} - D_lc})^2 n_{lc} x ()^2

381924 35518932193600 31169600

31684 33268201369 30118

42849 625595459536 14467248

429025 42902554289 488601

178084 39178480Somme 130864778

Tableau de contingence (A) - Calcul des ex-aequos sur Y et XP 338350 Y vs. X disc_amountQ 49938 disc_duration lo_1000 1000_2000 up_2000

lo_1_year 93 161 105D_Y 649298 1_2_years 22 146 243D_X 564064 up_2_years 1 9 220

n_{.c} 116 316 568Tau-b 0.476570 n_{.c}^2 13456 99856 322624

D_Y * n_{.c} 75318568 205178168 368801264

sigma^2 0.000448 Calcul de la variance asymptotique (B)sigma 0.021164 Case n_{lc} C_{lc} D_{lc}

(1,1) 93 618 0u(0.95) 1.644854 (1,2) 161 463 23

(1,3) 105 0 178Intervalle de confiance (2,1) 22 229 266

B.Basse 0.441758 (2,2) 146 313 106B.Haute 0.511383 (2,3) 243 254 10

(3,1) 1 0 655(3,2) 9 115 348(3,3) 220 422 0

sigma^2 (0) 0.000521 Calcul de la variance asymptotique sous H0 (C)sigma (0) 0.022821 Case n_{lc} C_{lc} D_{lc}

(1,1) 93 618 0(1,2) 161 463 23

z 20.883351 (1,3) 105 0 178p-value 0.000000 (2,1) 22 229 266

(2,2) 146 313 106(2,3) 243 254 10(3,1) 1 0 655(3,2) 9 115 348(3,3) 220 422 0

Somme

Tableau de contingence (A) - Calcul des ex-aequos sur Y et X

n_{l.} n_{l.}^2 D_X * n_{l.}359 128881 202498976411 168921 231830304230 52900 129734720

1000 350702435936

Calcul de la variance asymptotique (B)nu_{lc} B.6

277817544 7.20855E+19407677144 8.50574E+19571300240 3.38993E+17307148872 2.27072E+17437008472 3.07341E+19600631568 8.21890E+19205053288 4.83117E+17334912888 1.34848E+17498535984 1.23210E+20

Somme 3.94460E+20

Calcul de la variance asymptotique sous H0 (C)C.53551893231169600

332682030118

625595414467248

429025488601

39178480130864778

P 338350 Calcul de la variance asymptotique (A)Q 49938 Case n_{lc} C_{lc} D_{lc} C.5

(1,1) 93 618 0 35518932q 3 (1,2) 161 463 23 31169600n 1000 (1,3) 105 0 178 3326820

(2,1) 22 229 266 30118tau-c 0.432618 (2,2) 146 313 106 6255954

(2,3) 243 254 10 14467248sigma^2 0.000429 (3,1) 1 0 655 429025sigma 0.020716 (3,2) 9 115 348 488601

(3,3) 220 422 0 39178480u(0.95) 1.644854 Somme 130864778

Intervalle de confianceB.Basse 0.398543B.Haute 0.466693

Test de significativitéz 20.883351p-value 0.000000

P 338350 Tableau de contingence (A)Q 49938 disc_amount

disc_duration lo_1000 1000_2000up_2000D_X 564064 lo_1_year 93 161 105

1_2_years 22 146 243d 0.511311 up_2_years 1 9 220

n_{.c} 116 316 568

Calcul de la variance asymptotique (B)sigma^2 0.000530 Case n_{lc} C_{lc} D_{lc} B.5 B.6sigma 0.023013 (1,1) 93 618 0 348591552 254956208

(1,2) 161 463 23 248188160 197273808u(0.95) 1.644854 (1,3) 105 0 178 -100403392 124593984

(2,1) 22 229 266 -20870368 254956208Intervalle de confiance (2,2) 146 313 106 116761248 197273808

B.Basse 0.473457 (2,3) 243 254 10 137631616 124593984B.Haute 0.549164 (3,1) 1 0 655 -369461920 254956208

(3,2) 9 115 348 -131426912 197273808(3,3) 220 422 0 238035008 124593984

Calcul de la variance asymptotique sous H0 (C)Test de significativité Case n_{lc} C_{lc} D_{lc} C.5 C.6

sigma^2(0) 0.000599 (1,1) 93 618 0 381924 35518932sigma (0) 0.024484 (1,2) 161 463 23 193600 31169600

(1,3) 105 0 178 31684 3326820z 20.883351 (2,1) 22 229 266 1369 30118p-value 0.000000 (2,2) 146 313 106 42849 6255954

(2,3) 243 254 10 59536 14467248(3,1) 1 0 655 429025 429025(3,2) 9 115 348 54289 488601(3,3) 220 422 0 178084 39178480

Somme 130864778

Calcul de la variance asymptotique (B)B.7 B.8

8.7676E+15 8.1538E+172.5923E+15 4.1736E+175.0624E+16 5.3155E+187.6080E+16 1.6738E+186.4823E+15 9.4641E+171.6998E+14 4.1305E+163.8990E+17 3.8990E+171.0804E+17 9.7240E+171.2869E+16 2.8312E+18

Somme 1.3403E+19

codage 2 7Ytelephone Xforeign Ytelephone Xforeign

1 1 2 70 1 0 7 r 0.1074010 1 0 70 1 0 7 M-H KHI-2 11.5234200 1 0 7 p-value 0.0006871 1 2 70 1 0 71 1 2 70 1 0 70 1 0 70 1 0 70 1 0 71 1 2 70 1 0 70 1 0 70 1 0 70 1 0 70 1 0 71 1 2 71 1 2 71 1 2 70 1 0 70 0 0 00 1 0 70 0 0 01 1 2 70 1 0 70 1 0 70 1 0 71 1 2 71 1 2 70 1 0 71 1 2 70 1 0 71 1 2 70 1 0 71 1 2 70 1 0 71 1 2 70 1 0 70 1 0 71 1 2 71 1 2 70 1 0 70 1 0 70 1 0 70 1 0 71 1 2 70 1 0 70 1 0 70 1 0 71 1 2 70 1 0 71 1 2 71 1 2 70 1 0 71 1 2 70 1 0 70 1 0 71 1 2 7

1 1 2 71 1 2 71 1 2 71 1 2 71 1 2 71 1 2 70 1 0 70 1 0 71 1 2 70 1 0 70 1 0 71 1 2 71 1 2 70 1 0 71 1 2 70 1 0 70 1 0 70 1 0 70 1 0 70 1 0 71 1 2 71 1 2 70 1 0 71 1 2 70 1 0 71 1 2 70 1 0 71 1 2 71 1 2 70 1 0 70 1 0 70 1 0 70 1 0 70 1 0 71 1 2 71 1 2 70 1 0 70 1 0 70 1 0 71 1 2 70 1 0 70 1 0 70 1 0 71 1 2 71 1 2 71 1 2 71 1 2 70 1 0 71 0 2 01 1 2 70 1 0 71 1 2 70 1 0 71 1 2 70 1 0 71 1 2 71 1 2 70 0 0 00 1 0 71 1 2 71 1 2 71 1 2 7

0 1 0 71 1 2 70 1 0 70 1 0 70 1 0 70 1 0 71 1 2 70 1 0 70 1 0 71 1 2 70 1 0 70 1 0 71 1 2 71 1 2 70 1 0 70 1 0 71 1 2 71 1 2 70 0 0 01 1 2 70 1 0 70 1 0 71 1 2 70 1 0 71 1 2 71 1 2 70 1 0 70 1 0 71 1 2 71 0 2 00 1 0 70 1 0 71 1 2 70 1 0 70 0 0 00 1 0 71 1 2 70 1 0 71 1 2 70 1 0 71 1 2 71 1 2 70 1 0 71 1 2 70 1 0 70 1 0 71 1 2 71 1 2 70 1 0 71 1 2 71 1 2 70 0 0 00 1 0 71 1 2 70 1 0 70 1 0 71 1 2 70 1 0 70 1 0 71 1 2 70 1 0 71 1 2 7

1 1 2 70 1 0 71 1 2 71 1 2 70 1 0 71 1 2 71 1 2 70 1 0 71 1 2 70 1 0 70 1 0 71 1 2 71 1 2 70 1 0 71 1 2 71 1 2 71 1 2 70 1 0 70 1 0 70 1 0 70 1 0 71 1 2 71 1 2 70 1 0 70 1 0 70 0 0 00 1 0 71 1 2 71 1 2 71 1 2 71 1 2 70 1 0 71 1 2 71 1 2 70 1 0 71 1 2 70 1 0 71 1 2 70 1 0 71 1 2 71 1 2 70 1 0 71 1 2 71 1 2 70 1 0 70 1 0 70 1 0 70 1 0 70 1 0 70 1 0 70 1 0 70 1 0 71 1 2 70 1 0 70 1 0 70 1 0 70 1 0 70 1 0 70 1 0 70 1 0 70 1 0 71 1 2 7

0 1 0 70 0 0 00 1 0 70 1 0 71 1 2 70 1 0 70 1 0 70 1 0 71 1 2 70 1 0 70 1 0 70 1 0 71 1 2 70 1 0 70 1 0 70 1 0 71 1 2 70 1 0 70 0 0 00 1 0 70 1 0 71 1 2 71 0 2 00 1 0 70 0 0 01 1 2 71 1 2 70 1 0 71 1 2 70 1 0 70 1 0 71 1 2 70 1 0 71 1 2 71 1 2 70 1 0 70 1 0 70 1 0 71 1 2 71 1 2 70 1 0 71 1 2 71 1 2 70 1 0 71 0 2 01 1 2 71 1 2 70 1 0 70 1 0 71 1 2 70 1 0 70 0 0 01 1 2 71 1 2 71 1 2 71 1 2 70 1 0 71 1 2 70 1 0 70 1 0 70 1 0 71 1 2 7

0 1 0 70 1 0 71 1 2 70 1 0 70 1 0 70 1 0 70 0 0 00 1 0 70 1 0 71 1 2 70 1 0 70 1 0 70 1 0 70 1 0 71 1 2 70 1 0 70 1 0 70 0 0 01 1 2 71 1 2 70 1 0 70 1 0 71 1 2 70 1 0 70 1 0 70 1 0 70 1 0 71 1 2 70 1 0 70 1 0 70 1 0 70 1 0 71 1 2 70 1 0 70 1 0 71 1 2 70 1 0 70 1 0 70 1 0 70 1 0 70 1 0 70 1 0 71 1 2 70 0 0 01 1 2 71 1 2 71 1 2 70 1 0 71 1 2 71 1 2 70 1 0 70 1 0 70 1 0 70 1 0 71 1 2 70 1 0 70 1 0 71 1 2 70 1 0 70 1 0 70 1 0 70 1 0 7

0 1 0 71 1 2 70 1 0 71 1 2 71 1 2 70 1 0 70 1 0 70 1 0 71 1 2 70 1 0 71 1 2 71 1 2 70 1 0 70 1 0 70 1 0 70 1 0 71 1 2 71 1 2 70 1 0 70 1 0 71 1 2 70 1 0 71 1 2 70 1 0 70 1 0 71 1 2 70 1 0 71 1 2 70 1 0 70 1 0 71 1 2 70 1 0 71 1 2 70 1 0 70 1 0 71 1 2 71 1 2 70 0 0 01 1 2 71 1 2 71 1 2 71 1 2 71 1 2 70 0 0 00 1 0 71 1 2 70 1 0 71 1 2 70 1 0 70 1 0 70 1 0 70 1 0 70 1 0 70 1 0 71 1 2 71 1 2 70 1 0 70 1 0 70 1 0 70 1 0 70 1 0 71 1 2 7

1 1 2 71 1 2 70 1 0 71 1 2 70 1 0 71 1 2 70 1 0 70 1 0 71 1 2 70 1 0 71 1 2 70 1 0 71 1 2 70 1 0 71 1 2 70 1 0 71 1 2 70 1 0 71 1 2 70 1 0 70 1 0 71 1 2 71 1 2 71 1 2 70 1 0 71 1 2 70 1 0 71 1 2 70 1 0 70 1 0 70 1 0 70 1 0 71 1 2 71 1 2 71 1 2 70 1 0 71 1 2 71 1 2 71 1 2 70 1 0 70 1 0 71 1 2 70 1 0 70 1 0 70 1 0 70 1 0 70 1 0 71 1 2 70 1 0 70 1 0 71 1 2 70 1 0 71 1 2 71 1 2 71 1 2 71 1 2 70 0 0 00 1 0 70 1 0 71 1 2 70 1 0 70 1 0 7

0 0 0 00 1 0 71 1 2 70 1 0 70 1 0 71 1 2 70 1 0 70 1 0 70 1 0 70 1 0 70 1 0 70 1 0 71 1 2 71 1 2 70 1 0 71 1 2 70 1 0 71 1 2 71 1 2 70 1 0 70 1 0 70 0 0 00 0 0 01 1 2 71 1 2 70 1 0 70 1 0 70 1 0 70 1 0 70 1 0 70 1 0 70 1 0 70 1 0 70 1 0 70 1 0 71 1 2 70 1 0 71 1 2 70 1 0 71 1 2 70 1 0 70 1 0 71 1 2 71 1 2 70 1 0 70 1 0 70 1 0 71 1 2 70 1 0 70 1 0 70 1 0 70 1 0 71 1 2 70 1 0 70 1 0 71 1 2 70 1 0 70 1 0 71 1 2 70 1 0 71 1 2 70 1 0 7

0 1 0 71 1 2 70 1 0 70 1 0 71 1 2 70 1 0 70 1 0 71 1 2 71 1 2 71 1 2 70 1 0 70 1 0 71 1 2 71 1 2 71 1 2 70 1 0 71 1 2 70 1 0 70 1 0 70 1 0 70 1 0 71 1 2 70 1 0 70 1 0 70 1 0 70 1 0 70 1 0 70 1 0 71 1 2 70 1 0 70 1 0 70 1 0 71 1 2 70 1 0 71 1 2 71 1 2 70 1 0 71 1 2 71 1 2 70 1 0 70 1 0 71 1 2 70 1 0 70 1 0 70 1 0 70 1 0 70 1 0 71 1 2 70 1 0 71 1 2 71 1 2 70 1 0 70 1 0 70 1 0 70 1 0 70 1 0 70 1 0 70 0 0 00 1 0 71 1 2 70 1 0 70 1 0 7

0 1 0 70 1 0 70 1 0 70 1 0 70 1 0 70 1 0 70 1 0 70 1 0 71 1 2 70 1 0 71 1 2 70 1 0 70 1 0 70 1 0 70 1 0 70 1 0 71 1 2 71 1 2 70 1 0 71 1 2 70 1 0 71 1 2 70 1 0 70 1 0 71 1 2 71 1 2 71 1 2 71 1 2 70 1 0 70 1 0 70 1 0 70 1 0 71 1 2 70 1 0 70 1 0 71 1 2 71 1 2 70 1 0 70 1 0 71 1 2 70 1 0 71 1 2 70 1 0 70 1 0 70 1 0 71 1 2 70 1 0 71 1 2 71 1 2 70 1 0 71 1 2 70 1 0 71 1 2 71 1 2 71 1 2 70 1 0 70 1 0 71 1 2 71 1 2 70 1 0 70 1 0 70 1 0 7

0 1 0 71 1 2 70 1 0 71 1 2 71 1 2 71 1 2 71 1 2 70 1 0 71 1 2 70 1 0 70 1 0 70 1 0 70 1 0 70 1 0 71 1 2 70 1 0 70 0 0 00 1 0 70 1 0 71 1 2 70 1 0 71 1 2 71 1 2 70 1 0 71 1 2 70 1 0 70 1 0 70 1 0 70 1 0 70 1 0 71 1 2 70 1 0 71 1 2 70 1 0 71 1 2 70 1 0 71 1 2 71 1 2 71 1 2 71 1 2 71 1 2 70 1 0 70 1 0 70 1 0 70 1 0 70 1 0 70 1 0 70 1 0 70 1 0 71 1 2 70 1 0 70 1 0 70 1 0 71 1 2 70 1 0 70 1 0 70 1 0 71 1 2 71 1 2 70 1 0 70 1 0 70 1 0 7

1 1 2 71 1 2 71 1 2 70 1 0 70 1 0 70 1 0 70 1 0 70 1 0 71 1 2 70 1 0 70 1 0 70 1 0 70 1 0 70 1 0 70 0 0 01 1 2 71 1 2 70 1 0 71 1 2 70 1 0 70 1 0 71 1 2 71 1 2 70 1 0 70 1 0 70 1 0 71 1 2 71 1 2 70 1 0 71 1 2 71 1 2 70 1 0 70 1 0 70 1 0 71 1 2 70 1 0 71 1 2 71 1 2 70 1 0 71 1 2 71 1 2 70 1 0 71 1 2 71 1 2 70 1 0 71 1 2 70 1 0 71 1 2 70 1 0 71 1 2 70 1 0 70 1 0 71 1 2 70 1 0 71 1 2 70 1 0 71 1 2 70 1 0 70 1 0 71 1 2 70 1 0 70 1 0 7

0 1 0 71 1 2 70 0 0 00 1 0 71 1 2 70 1 0 71 1 2 70 1 0 71 1 2 70 1 0 70 1 0 70 1 0 70 1 0 71 1 2 70 1 0 70 1 0 71 1 2 70 1 0 70 1 0 70 1 0 71 1 2 71 1 2 71 1 2 70 1 0 70 1 0 71 1 2 71 1 2 71 1 2 70 1 0 71 1 2 70 1 0 70 1 0 70 1 0 70 1 0 71 1 2 70 1 0 70 1 0 70 1 0 70 1 0 71 1 2 71 1 2 71 1 2 70 1 0 70 1 0 70 1 0 70 1 0 70 0 0 01 1 2 71 1 2 70 1 0 71 1 2 71 1 2 71 1 2 71 1 2 71 1 2 70 0 0 00 1 0 71 1 2 71 1 2 71 1 2 70 1 0 70 1 0 7

0 1 0 70 1 0 70 1 0 70 1 0 71 1 2 70 0 0 01 1 2 70 1 0 70 1 0 70 1 0 71 1 2 70 1 0 71 1 2 70 1 0 71 1 2 71 1 2 70 1 0 70 1 0 71 1 2 70 1 0 71 1 2 71 1 2 71 1 2 71 1 2 71 1 2 71 1 2 70 0 0 01 1 2 71 1 2 71 1 2 71 1 2 70 0 0 00 1 0 70 1 0 71 1 2 71 1 2 70 1 0 71 1 2 71 1 2 71 1 2 70 0 0 00 1 0 70 1 0 70 1 0 70 1 0 70 1 0 70 1 0 71 1 2 71 1 2 71 0 2 00 1 0 71 1 2 70 1 0 71 1 2 70 1 0 71 1 2 70 1 0 71 1 2 71 1 2 71 1 2 70 1 0 71 1 2 7

1 1 2 70 1 0 70 0 0 01 1 2 70 1 0 71 1 2 70 1 0 70 1 0 70 1 0 71 1 2 70 1 0 71 1 2 71 1 2 70 0 0 01 1 2 70 1 0 70 1 0 70 1 0 71 1 2 71 1 2 70 1 0 70 1 0 71 1 2 71 1 2 70 1 0 71 1 2 71 1 2 71 1 2 70 1 0 70 1 0 70 1 0 70 1 0 70 1 0 70 1 0 70 1 0 71 1 2 70 1 0 70 1 0 70 1 0 71 1 2 71 1 2 70 1 0 70 1 0 70 1 0 70 1 0 70 1 0 71 1 2 70 1 0 70 1 0 70 1 0 70 1 0 70 1 0 70 1 0 71 1 2 71 1 2 70 1 0 70 1 0 70 1 0 70 1 0 70 1 0 71 1 2 70 1 0 7

0 1 0 70 1 0 70 1 0 71 1 2 71 1 2 70 1 0 71 1 2 70 1 0 71 1 2 70 1 0 7