Ch9 Evans BA1e

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Demographic Data

Unemployment Cost of Living

Metropolitan Area State (July 1999) 1999 - US Avg = 100

ANCHORAGE AK 3.60% 125.90

BIRMINGHAM AL 2.70% 99.10

HUNTSVILLE AL 2.70% 95.20

MOBILE AL 3.60% 91.80MONTGOMERY AL 2.90% 92.40

LITTLE ROCK AR 3.20% 87.20

PHOENIX AZ 2.60% 99.90

TUCSON AZ 2.30% 99.70

BAKERSFIELD CA 12.50% 106.10

FRESNO CA 13.80% 105.80

LOS ANGELES CA 6.30% 122.00

SACRAMENTO CA 4.10% 114.00

SAN DIEGO CA 3.20% 122.80

SAN FRANCISCO CA 2.50% 144.70

COLORADO SPRINGS CO 3.70% 96.80

DENVER CO 2.60% 105.30

PUEBLO CO 5.80% 92.50

HARTFORD CT 3.40% 121.80

WASHINGTON DC 2.90% 132.00

WILMINGTON DE 3.20% 108.10

FORT MYERS FL 4.40% 97.20

JACKSONVILLE FL 2.90% 95.40

MIAMI FL 6.70% 104.50

ORLANDO FL 2.90% 97.00

PENSACOLA FL 3.70% 93.60TALLAHASSEE FL 3.10% 100.10

TAMPA FL 2.90% 97.80

WEST PALM BEACH FL 5.60% 104.70

ATLANTA GA 3.00% 97.40

COLUMBUS GA 4.40% 93.90

MACON GA 4.70% 95.10

DES MOINES A 1.80% 94.70

DUBUQUE A 2.60% 107.50

BOISE ID 3.30% 102.70

POCATELLO ID 4.50% 99.80

CHICAGO IL 4.00% 121.60

ROCKFORD IL 4.10% 103.60

SPRINGFIELD IL 3.60% 95.10

FORT WAYNE IN 2.40% 93.30

INDIANAPOLIS IN 2.30% 94.90

SOUTH SEND IN 2.40% 90.90

TOPEKA KS 4.30% 95.10

WICHITA KS 3.30% 94.80

0.0

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LEXINGTON KY 1.90% 95.90

LOUISVILLE KY 2.70% 92.80

BATON ROUGE LA 3.70% 98.50

NEW ORLEANS LA 4.00% 94.50

SHREVEPORT LA 4.80% 94.90

BOSTON MA 2.20% 136.80

BALTIMORE MD 4.70% 102.30DETROIT MI 2.80% 113.00

GRAND RAPIDS MI 2.50% 102.10

LANSING MI 2.10% 102.90

MINNEAPOLIS-ST.PAUL MN 1.50% 99.70

ROCHESTER MN 1.20% 97.50

COLUMBIA MO 1.40% 93.10

KANSAS CITY MO 3.20% 96.10

SPRINGFIELD MO 2.50% 94.50

ST. LOUIS MO 3.50% 97.40

JACKSON MS 2.80% 94.30

BILLINGS MT 3.80% 102.70

GREAT FALLS MT 5.70% 102.50

MISSOULA MT 5.20% 101.80

ASHEVILLE NC 3.30% 100.00

CHARLOTTE NC 5.00% 96.80

GREENSBORO-WNSTN-S NC 2.80% 97.50

RALEIGH NC 1.90% 97.30

WILMINGTON NC 4.20% 97.80

BISMARCK ND 1.80% 99.90

FARGO ND 1.10% 100.80

LINCOLN NE 1.40% 88.80OMAHA NE 1.90% 92.30

CONCORD NH 2.30% 108.80

ATLANTIC CITY NJ 12.70% 132.60

ALBUQUERQUE NM 4.60% 102.80

LAS VEGAS NV 3.30% 105.60

RENO NV 2.80% 111.80

ALBANY NY 3.10% 109.70

BUFFALO NY 4.50% 97.30

NEW YORK NY 7.60% 226.50

ROCHESTER NY 3.50% 110.40

SYRACUSE NY 3.40% 102.90

AKRON om 3.70% 96.30

CINCINNATI OH 3.20% 101.10

CLEVELAND OH 4.20% 106.00

COLUMBUS OH 2.50% 101.40

TOLEDO OH 4.60% 96.90

OKLAHOMA CITY OK 3.00% 90.20

TULSA OK 3.00% 89.40

EUGENE OR 5.10% 108.90


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PORTLAND OR 4.30% 107.30

SALEM OR 5.50% 103.30

ALLENTOWN PA 4.40% 104.40

ERIE PA 4.70% 101.60

HARRISBURG PA 2.70% 104.90

PHILADELPHIA PA 4.00% 127.40

PITTSBURGH PA 4.31% 113.30WILLIAMSPORT PA 5.10% 97.50

CHARLESTON SC 2.50% 95.20

COLUMBIA SC 1.80% 94.20

GREENVILLE SC 2.50% 95.20

RAPID CITY SO 2.40% 100.20

SIOUXFALLS SO 1.40% 96.60

KNOXVILLE TN 3.40% 93.80

MEMPHIS TN 3.20% 95.30

NASHVILLE TN 2.50% 91.70

ABILENE TX 3.40% 91.80

AMARILLO TX 3.10% 90.00

AUSTIN TX 2.40% 100.90

CORPUS CHRISTI TX 6.40% 93.60

DALLAS-FORT WORTH TX 2.90% 101.80

ELPASO TX 9.80% 95.00

HOUSTON TX 3.80% 96.80

SAN ANTONIO TX 3.20% 99.60

WACO TX 3.30% 92.10

SALT LAKE CITY UT 2.70% 100.90

NORFOLK VA 3.30% 100.50

RICHMOND VA 2.80% 102.00ROANOKE VA 2.10% 93.00

BURLINGTON VT 1.90% 109.60

OLYMPIA WA 4.80% 103.40

SEATTLE WA 3.10% 119.70

SPOKANE WA 5.30% 106.70

YAKIMA WA 11.70% 102.60

GREEN BAY Wl 2.40% 97.00

LA CROSSE WI 2.50% 98.50

MILWAUKEE Wl 3.30% 107.50

CHARLESTON WV 4.40% 96.60

HUNTINGTON WV 5.80% 100.80

CASPER WY 5.00% 101.40

CHEYENNE WY 3.30% 95.00


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y = 171.69x + 96.132

R = 0.0582

0

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0.00% 2.00% 4.00% 6.00% 8.00% 10.00% 12.00% 14.00% 16.00%Unemployment %


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Student Grades

Student Midterm inal Exam

1 76 62

2 84 90

3 79 68

4 88 845 76 58

6 66 79

7 75 73

8 94 93

9 66 65

10 92 86

11 80 53

12 87 83

13 86 49

14 63 72

15 92 87

16 75 89 Midterm 85

17 69 81 Final Prediction 84.19

18 92 94

19 79 78

20 60 71

21 68 84

22 71 74

23 61 74

24 68 54

25 76 9726 72 79

27 99 89

28 58 53

29 82 78

30 72 82

31 77 69

32 95 98

33 72 93

34 71 80

35 72 82

36 96 96

37 72 61

38 89 84

39 94 97

40 85 89

41 60 72

42 66 93

43 96 84

y = 0.6037x + 32.933

R = 0.2708

0

20

40

60

80

100

120

0 20 40 60 80

Final

Midterm


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44 83 87

45 88 99

46 92 97

47 80 92

48 80 93

49 91 78

50 74 8251 96 99

52 80 72

53 62 79

54 70 75

55 87 90

56 90 95


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100 120


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Home Market Value INTERCEPT 32,673.00$

SLOPE 35.04$

House Age Square Feet Market Value Predicted Errors

33 1,812 $90,000.00 96,158.23$ -$6,158.23 min

32 1,914 $104,400.00 99,731.90$ $4,668.10 max

32 1,842 $93,300.00 97,209.31$ -$3,909.3133 1,812 $91,000.00 96,158.23$ -$5,158.23

32 1,836 $101,900.00 96,999.10$ $4,900.90

33 2,028 $108,500.00 103,726.01$ $4,773.99

32 1,732 $87,600.00 93,355.35$ -$5,755.35

33 1,850 $96,000.00 97,489.60$ -$1,489.60

32 1,791 $89,200.00 95,422.48$ -$6,222.48

33 1,666 $88,400.00 91,042.98$ -$2,642.98

32 1,852 $100,800.00 97,559.67$ $3,240.33

32 1,620 $96,700.00 89,431.32$ $7,268.68

32 1,692 $87,500.00 91,953.91$ -$4,453.91

32 2,372 $114,000.00 115,778.39$ -$1,778.39

32 2,372 $113,200.00 115,778.39$ -$2,578.39

33 1,666 $87,500.00 91,042.98$ -$3,542.98

32 2,123 $116,100.00 107,054.43$ $9,045.57

32 1,620 $94,700.00 89,431.32$ $5,268.68

32 1,731 $86,400.00 93,320.32$ -$6,920.32

32 1,666 $87,100.00 91,042.98$ -$3,942.98

28 1,520 $83,400.00 85,927.72$ -$2,527.72

27 1,484 $79,800.00 84,666.42$ -$4,866.42

28 1,588 $81,500.00 88,310.17$ -$6,810.17

28 1,598 $87,100.00 88,660.53$ -$1,560.5328 1,484 $82,600.00 84,666.42$ -$2,066.42

28 1,484 $78,800.00 84,666.42$ -$5,866.42

28 1,520 $87,600.00 85,927.72$ $1,672.28

27 1,701 $94,200.00 92,269.24$ $1,930.76

28 1,484 $82,000.00 84,666.42$ -$2,666.42

28 1,468 $88,100.00 84,105.85$ $3,994.15

28 1,520 $88,100.00 85,927.72$ $2,172.28

27 1,520 $88,600.00 85,927.72$ $2,672.28

27 1,484 $76,600.00 84,666.42$ -$8,066.42

28 1,520 $84,400.00 85,927.72$ -$1,527.72

27 1,668 $90,900.00 91,113.05$ -$213.05

28 1,588 $81,000.00 88,310.17$ -$7,310.17

28 1,784 $91,300.00 95,177.22$ -$3,877.22

27 1,484 $81,300.00 84,666.42$ -$3,366.42

27 1,520 $100,700.00 85,927.72$ $14,772.28

28 1,520 $87,200.00 85,927.72$ $1,272.28

27 1,684 $96,700.00 91,673.62$ $5,026.38

27 1,581 $120,700.00 88,064.92$ $32,635.08

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6

8

10

12

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BIN Cumulative Count Count

-$8,066.42 (10,000.00)$ 0 0

$32,635.08 (7,500.00)$ 1 1

(5,000.00)$ 9 8(2,500.00)$ 20 11

-$ 26 6

2,500.00$ 30 4

5,000.00$ 36 6

7,500.00$ 39 3

10,000.00$ 40 1

12,500.00$ 40 0

15,000.00$ 41 1

17,500.00$ 41 0

20,000.00$ 41 0

22,500.00$ 41 0

25,000.00$ 41 0

27,500.00$ 41 0

30,000.00$ 41 0

32,500.00$ 41 0

35,000.00$ 42 1

3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19

Histogram for Errors


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X Y XY X^2 X_bar

Square Feet Market Value 1,695

1,812 $90,000.00 163,080,000.00 3,283,344.00

1,914 $104,400.00 199,821,600.00 3,663,396.00

1,842 $93,300.00 171,858,600.00 3,392,964.00

1,812 $91,000.00 164,892,000.00 3,283,344.00

1,836 $101,900.00 187,088,400.00 3,370,896.002,028 $108,500.00 220,038,000.00 4,112,784.00

1,732 $87,600.00 151,723,200.00 2,999,824.00

1,850 $96,000.00 177,600,000.00 3,422,500.00

1,791 $89,200.00 159,757,200.00 3,207,681.00

1,666 $88,400.00 147,274,400.00 2,775,556.00

1,852 $100,800.00 186,681,600.00 3,429,904.00

1,620 $96,700.00 156,654,000.00 2,624,400.00

1,692 $87,500.00 148,050,000.00 2,862,864.00

2,372 $114,000.00 270,408,000.00 5,626,384.00

2,372 $113,200.00 268,510,400.00 5,626,384.00

1,666 $87,500.00 145,775,000.00 2,775,556.00

2,123 $116,100.00 246,480,300.00 4,507,129.00

1,620 $94,700.00 153,414,000.00 2,624,400.00

1,731 $86,400.00 149,558,400.00 2,996,361.00

1,666 $87,100.00 145,108,600.00 2,775,556.00

1,520 $83,400.00 126,768,000.00 2,310,400.00

1,484 $79,800.00 118,423,200.00 2,202,256.00

1,588 $81,500.00 129,422,000.00 2,521,744.00

1,598 $87,100.00 139,185,800.00 2,553,604.00

1,484 $82,600.00 122,578,400.00 2,202,256.00

1,484 $78,800.00 116,939,200.00 2,202,256.001,520 $87,600.00 133,152,000.00 2,310,400.00

1,701 $94,200.00 160,234,200.00 2,893,401.00

1,484 $82,000.00 121,688,000.00 2,202,256.00

1,468 $88,100.00 129,330,800.00 2,155,024.00

1,520 $88,100.00 133,912,000.00 2,310,400.00

1,520 $88,600.00 134,672,000.00 2,310,400.00

1,484 $76,600.00 113,674,400.00 2,202,256.00

1,520 $84,400.00 128,288,000.00 2,310,400.00

1,668 $90,900.00 151,621,200.00 2,782,224.00

1,588 $81,000.00 128,628,000.00 2,521,744.00

1,784 $91,300.00 162,879,200.00 3,182,656.00

1,484 $81,300.00 120,649,200.00 2,202,256.00

1,520 $100,700.00 153,064,000.00 2,310,400.00

1,520 $87,200.00 132,544,000.00 2,310,400.00

1,684 $96,700.00 162,842,800.00 2,835,856.00

1,581 $120,700.00 190,826,700.00 2,499,561.00


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Y_bar SUM(XY) SUM(X^2) n

92,069.05$ 6,625,096,800.00 122,693,377.00 42

SLOPE 35.04

INTERCEPT 32,673.22$


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Billable Total

3,000.00 340,000.00$

4,000.00 400,000.00$

5,000.00 435,000.00$

6,000.00 477,000.00$

7,000.00 529,000.00$8,000.00 587,000.00$

a. Around $20,0000

b. 1000 billable hours gives 67,524.00$ roughly

-

$-

$100,000.00

$200,000.00

$300,000.00

$400,000.00

$500,000.00

$600,000.00

$700,000.00

- 1,000.002,000.003,000.004,000.

Tota


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y = 47.543x + 199848

R = 0.994

005,000.006,000.007,000.008,000.009,000.00

l


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SUMMARY OUTPUT

Regression Statistics

Multiple R 0.241202

R Square 0.058179

Adjusted R Square 0.050878

Standard Error 0.020176Observations 131

ANOVA

df SS MS F gnificance F

Regression 1 0.003244 0.003244 7.96865 0.005515

Residual 129 0.052514 0.000407

Total 130 0.055758

Coefficientsandard Err t Stat P-value Lower 95%Upper 95%ower 95.0 pper 95.0

Intercept 0.002698 0.012437 0.216932 0.828604 -0.02191 0.027305 -0.02191 0.027305

X Variable 1 0.000339 0.00012 2.82288 0.005515 0.000101 0.000576 0.000101 0.000576

RESIDUAL OUTPUT

Observation redicted Y Residuals dard Residuals

10 0.038548 0.099452 4.948201

9 0.03865 0.08635 4.29633

124 0.037464 0.079536 3.957299

74 0.04763 0.07937 3.949063112 0.034889 0.063111 3.140089

110 0.034414 0.029586 1.472027

23 0.038108 0.028892 1.437523

17 0.034042 0.023958 1.192043

129 0.036854 0.021146 1.052109

62 0.03743 0.01957 0.973693

11 0.044038 0.018962 0.943462

28 0.038176 0.017824 0.886847

92 0.037701 0.017299 0.860696

98 0.035736 0.015264 0.759461

63 0.037193 0.014807 0.73672

65 0.035499 0.014501 0.721508

123 0.038853 0.014147 0.703864

48 0.034855 0.013145 0.654031

130 0.037057 0.012943 0.643955

31 0.034923 0.012077 0.600905

90 0.039599 0.011401 0.567263

87 0.035533 0.010467 0.520803


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121 0.037735 0.010265 0.510726

94 0.037125 0.009875 0.491318

50 0.037362 0.009638 0.479516

30 0.034516 0.009484 0.471872

79 0.035668 0.009332 0.464304

128 0.035431 0.008569 0.426351

35 0.036515 0.008485 0.42215575 0.037532 0.008468 0.421332

21 0.035634 0.008366 0.416235

42 0.034923 0.008077 0.401885

68 0.035838 0.006162 0.30661

93 0.038074 0.005926 0.294847

47 0.034719 0.005281 0.262736

91 0.039057 0.003943 0.196199

85 0.038616 0.003384 0.168362

37 0.037803 0.003197 0.15907

25 0.034414 0.002586 0.128645

113 0.035499 0.002501 0.12445

4 0.033804 0.002196 0.109238

97 0.04109 0.00201 0.100018

83 0.035329 0.001671 0.083125

15 0.035499 0.001501 0.074695

38 0.034923 0.001077 0.053601

46 0.036075 0.000925 0.046034

61 0.037498 0.000502 0.024979

107 0.033804 0.000196 0.009728

6 0.032246 -0.00025 -0.01223

12 0.041327 -0.00033 -0.01627104 0.034482 -0.00048 -0.02399

59 0.035702 -0.0007 -0.03493

115 0.033906 -0.00091 -0.04508

43 0.034821 -0.00182 -0.09061

131 0.034889 -0.00189 -0.09398

108 0.033195 -0.00219 -0.10919

105 0.03499 -0.00299 -0.14879

89 0.032991 -0.00299 -0.14883

57 0.035262 -0.00326 -0.16228

88 0.033262 -0.00326 -0.16232

80 0.079448 -0.00345 -0.1715482 0.037566 -0.00357 -0.17741

64 0.036583 -0.00358 -0.17827

117 0.036752 -0.00375 -0.1867

36 0.043902 -0.0039 -0.19416

114 0.036448 -0.00445 -0.22129

34 0.037498 -0.0045 -0.2238

84 0.036956 -0.00496 -0.24658

5 0.034008 -0.00501 -0.24916


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81 0.040107 -0.00511 -0.2541

76 0.038481 -0.00548 -0.27269

26 0.036617 -0.00562 -0.27947

29 0.035702 -0.0057 -0.2837

96 0.045868 -0.00587 -0.29194

22 0.035024 -0.00602 -0.29974

127 0.039124 -0.00612 -0.3047224 0.035567 -0.00657 -0.32672

60 0.034652 -0.00665 -0.33095

27 0.035838 -0.00684 -0.3402

45 0.034143 -0.00714 -0.35542

20 0.039328 -0.00733 -0.36459

66 0.035736 -0.00774 -0.3849

3 0.034957 -0.00796 -0.39588

111 0.037193 -0.00819 -0.40764

106 0.033771 -0.00877 -0.43638

78 0.03987 -0.00887 -0.44132

118 0.037261 -0.00926 -0.46077

2 0.036278 -0.00928 -0.46163

1 0.045359 -0.00936 -0.46567

41 0.0335 -0.0095 -0.47265

58 0.034719 -0.00972 -0.48359

116 0.036888 -0.00989 -0.49198

99 0.034957 -0.00996 -0.49539

101 0.034957 -0.00996 -0.49539

18 0.04397 -0.00997 -0.49606

39 0.034313 -0.01031 -0.51311

7 0.036549 -0.01055 -0.52487126 0.036075 -0.01107 -0.55102

95 0.038243 -0.01124 -0.55942

125 0.035567 -0.01157 -0.57549

40 0.034855 -0.01185 -0.58984

86 0.037057 -0.01206 -0.59992

122 0.043258 -0.01226 -0.60992

52 0.037295 -0.01229 -0.61172

13 0.044309 -0.01231 -0.61243

16 0.038379 -0.01238 -0.61591

77 0.040582 -0.01258 -0.62599

102 0.036651 -0.01265 -0.62944109 0.036888 -0.01289 -0.64124

51 0.040988 -0.01299 -0.64622

33 0.039124 -0.01312 -0.65301

119 0.034211 -0.01321 -0.65732

8 0.036481 -0.01348 -0.67077

72 0.033974 -0.01497 -0.74502

44 0.035194 -0.01619 -0.80572

73 0.039565 -0.01656 -0.82419


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53 0.037566 -0.01657 -0.82423

100 0.034618 -0.01662 -0.82681

67 0.035668 -0.01667 -0.82932

32 0.034787 -0.01679 -0.83524

19 0.047426 -0.01843 -0.9168

69 0.036549 -0.01855 -0.92291

71 0.032788 -0.01879 -0.9347956 0.034245 -0.02024 -1.00729

120 0.039836 -0.02084 -1.03669

103 0.035431 -0.02143 -1.0663

54 0.036481 -0.02148 -1.0688

55 0.035736 -0.02374 -1.18098

70 0.036854 -0.02585 -1.28637

14 0.05173 -0.02673 -1.32993

49 0.049053 -0.02705 -1.34601


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a. Only 6% of the variability in umemployment can be explained by the variability in Cost of

We cannot reject the hypothesis that the intercept is 0.

We can reject the hypothesis that the slope is 0.

b. Residuals seem to satisfy regression assumptions.

c. There might be 5 outliers.

-0.04

-0.02

0

0.02

0.04

0.06

0.08

0.1

0.12

0.00 50.00 100.00 150.00 200.00 250.00

Residua

ls

X Variable 1

X Variable 1 Residual Plot


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Living.


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SUMMARY OUTPUT


Multiple R 0.520424

R Square 0.270841

Adjusted R 0.257338

Standard E 11.1694Observatio 56

ANOVA


Regression 1 2502.334 2502.334 20.05792 3.93E-05

Residual 54 6736.791 124.7554

Total 55 9239.125

Coefficientsandard Err t Stat P-value Lower 95%Upper 95%ower 95.0 pper 95.0%

Intercept 32.93275 10.75299 3.062658 0.003417 11.37429 54.4912 11.37429 54.4912

Midterm 0.603699 0.134796 4.478607 3.93E-05 0.333449 0.87395 0.333449 0.87395

RESIDUAL OUTPUT

bservatio cted Final Residuals dard Residuals

13 84.8509 -35.8509 -3.23933

11 81.2287 -28.2287 -2.55062

5 78.8139 -20.8139 -1.88065

24 73.98431 -19.9843 -1.805691 78.8139 -16.8139 -1.51923

37 76.3991 -15.3991 -1.39139

28 67.94731 -14.9473 -1.35057

3 80.625 -12.625 -1.14074

31 79.4176 -10.4176 -0.94129

49 87.86939 -9.86939 -0.89175

52 81.2287 -9.2287 -0.83386

9 72.77691 -7.77691 -0.70269

43 90.88789 -6.88789 -0.62236

7 78.2102 -5.2102 -0.47077

29 82.4361 -4.4361 -0.40083

27 92.69899 -3.69899 -0.33422

38 86.66199 -2.66199 -0.24053

19 80.625 -2.625 -0.23718

10 88.47309 -2.47309 -0.22346

12 85.4546 -2.4546 -0.22179

4 86.05829 -2.05829 -0.18598

22 75.7954 -1.7954 -0.16222

-40

-30

-20

-100

10

20

30

0

Residu

als


24/136

15 88.47309 -1.47309 -0.1331

54 75.19171 -0.19171 -0.01732

14 70.96581 1.03419 0.093445

20 69.15471 1.845288 0.166732

26 76.3991 2.600896 0.235005

41 69.15471 2.845288 0.257088

8 89.68049 3.319509 0.29993644 83.0398 3.960202 0.357826

34 75.7954 4.204595 0.379908

23 69.75841 4.241589 0.383251

50 77.6065 4.393497 0.396977

55 85.4546 4.545405 0.410703

40 84.2472 4.752804 0.429442

36 90.88789 5.11211 0.461908

18 88.47309 5.526908 0.499387

30 76.3991 5.600896 0.506072

35 76.3991 5.600896 0.506072

6 72.77691 6.223092 0.562291

2 83.6435 6.356503 0.574345

17 74.58801 6.411994 0.579359

39 89.68049 7.319509 0.661358

32 90.28419 7.71581 0.697166

56 87.26569 7.734307 0.698837

51 90.88789 8.11211 0.732974

46 88.47309 8.526908 0.770453

53 70.36211 8.63789 0.780481

21 73.98431 10.01569 0.904973

47 81.2287 10.7713 0.97324716 78.2102 10.7898 0.974918

48 81.2287 11.7713 1.063602

45 86.05829 12.94171 1.169355

33 76.3991 16.6009 1.499983

25 78.8139 18.1861 1.643215

42 72.77691 20.22309 1.827268


25/136

a. 27% of the variability in the final grade can be explained by the variability in midterm grade.

We can reject the hypothesis that the intercept is 0.

We can reject the hypothesis that the slope is 0.

b. Residuals seem to satisfy regression assumptions.

c. There seems to be one outlier.

20 40 60 80 100 120

Midterm

Midterm Residual Plot


26/136

National Football League Data 2007 Season

Team Points/Ga Yards/Game

Arizona C 25.2 344.1

Atlanta Fa 16.2 301

Baltimore 17.2 302

Buffalo Bi 15.8 277.1Carolina 16.7 284.9

Chicago 20.9 293.2

Cincinnati 23.8 348

Cleveland 25.1 351.3

Dallas Co 28.4 365.7

Denver Br 20 346.3

Detroit Li 21.6 322.9

Green Ba 27.2 370.7

Houston 23.7 333.6

Indianapo 28.1 358.7

Jacksonvi 25.7 357.4 a. Appears to be linear

Kansas Ci 14.1 276.8

Miami Dol 16.7 287.5

Minnesot 22.8 336.2 SUMMARY OUTPUT

New Engl 36.8 411.2

New Orlea 23.7 361.2 Regression Statistics

New York 23.3 331.4 Multiple R 0.8944

New York 16.8 294.7 R Square 0.799951

Oakland 17.7 294.8 Adjusted R 0.793282

Philadelp 21 358.1 Standard E 2.269815

Pittsburg 24.6 327.4 Observatio 32San Diego 25.8 315.2

San Franc 13.7 237.3 ANOVA

Seattle Se 24.6 348.9 df SS MS F

St. Louis 16.4 297.5 Regression 1 618.0569 618.0569 119.9631

Tampa Ba 20.9 326.8 Residual 30 154.5618 5.15206

Tennesse 18.8 311.7 Total 31 772.6188

Washingt 20.9 333.4

Coefficientsandard Err t Stat P-value

Intercept -19.2478 3.75948 -5.11979 1.66E-05

Yards/Gam 0.125889 0.011494 10.95277 5.27E-12

RESIDUAL OUTPUT

Observatio ted Points/ Residuals dard Residuals

24 25.83314 -4.83314 -2.16451

10 24.34765 -4.34765 -1.94708

0

50

100

150

200

250300

350

400

450

0 5 10 15 20

Points/Game vs.


27/136

20 26.2234 -2.5234 -1.1301

2 18.64487 -2.44487 -1.09493

32 22.72368 -1.82368 -0.81673

29 18.20426 -1.80426 -0.80803

3 18.77076 -1.57076 -0.70346

16 15.59836 -1.49836 -0.67103

31 19.99189 -1.19189 -0.5337822 17.85177 -1.05177 -0.47103

30 21.89281 -0.99281 -0.44463

7 24.56166 -0.76166 -0.34111

18 23.07617 -0.27617 -0.12368

17 16.94537 -0.24537 -0.10989

12 27.41935 -0.21935 -0.09823

23 17.86436 -0.16436 -0.07361

28 24.67496 -0.07496 -0.03357

15 25.74502 -0.04502 -0.02016

5 16.61806 0.081942 0.036698

8 24.9771 0.122904 0.055042

4 15.63612 0.163878 0.073392

11 21.40184 0.198155 0.088743

21 22.4719 0.828098 0.370861

13 22.74886 0.951142 0.425966

1 24.07069 1.129306 0.505756

9 26.7899 1.610101 0.721079

14 25.90868 2.191324 0.981378

25 21.96835 2.631654 1.178579

27 10.62573 3.074265 1.376801

6 17.66294 3.237063 1.44970919 32.51785 4.282145 1.917746

26 20.4325 5.367502 2.40382


28/136

Significance F

5.27168E-12 b. MODEL SIGNIFICANT

c. Residuals seems fine. No obvious outliers.

Lower 95% Upper 95%ower 95.0 pper 95.0%

-26.9256397 -11.5699 -26.9256 -11.5699

0.102415617 0.149363 0.102416 0.149363

d. 95% CI

LL 3.7990 using J37 an

UL 33.2389 using K37 a

e. 95% PI

25 30 35 40

Yards/Game

-10

-5

0

5

10

0 100 200 300 400Residuals

Yards/Game

Yards/Game Residual Plot


29/136

LL UL

Intercept 0.2984 (38.7939)

Slope (0.0020) 0.2537

Prediction (0.2871) 37.3251


30/136

d J38

d K38

500


31/136

Pile Foundation Data

Pile Estimated Actual

Number Pile Lengt Pile Length (ft.)

1 10.58 18.58

2 10.58 18.58

3 10.58 18.584 10.58 18.58

5 10.58 28.58

6 10.58 26.58

7 10.58 17.58

8 10.58 27.58

9 10.58 27.58

10 10.58 37.58

11 10.58 28.58

12 5.83 1.83

13 5.83 8.83

14 5.83 8.83

15 5.83 8.83

16 10.83 16.83 Regression Statistics

17 10.83 19.83 Multiple R 0.796928

18 10.83 18.33 R Square 0.635095

19 10.83 14.83 Adjusted R 0.633914

20 21.33 12 Standard E 9.886816

21 16.33 27 Observatio 311

22 21.33 42

23 21.33 46 ANOVA

24 21.33 46 df SS MS F 25 31.33 57 Regression 1 52569.02 52569.02 537.7953

26 41.08 55.75 Residual 309 30204.48 97.74913

27 41.08 55.75 Total 310 82773.5

28 41.08 55.75

29 46.33 57 Coefficientsandard Err t Stat P-value

30 61.33 77 Intercept 11.61438 1.137095 10.21408 2.71E-21

31 61.33 76 X Variable 0.814189 0.035109 23.19041 1.29E-69

32 61.33 75

33 61.33 75

34 61.33 36

35 61.33 56.42 RESIDUAL OUTPUT

36 61.33 45

37 61.33 45.42 Observatio redicted Y Residuals dard Residuals

38 61.33 37 1 20.2285 -1.6485 -0.16701

39 11.33 8 2 20.2285 -1.6485 -0.16701

40 5.83 2.83 3 20.2285 -1.6485 -0.16701

41 5.83 2.83 4 20.2285 -1.6485 -0.16701

42 5.83 2.83 5 20.2285 8.351502 0.846077

0.00

10.00

20.00

30.00

40.00

50.00

60.00

70.00

80.00

90.00

0.00 10.00 20.00 30.00 40.0

Actual PileLength

Estimated Pile Le


32/136

43 5.83 2.83 6 20.2285 6.351502 0.64346

44 15.83 14.83 7 20.2285 -2.6485 -0.26831

45 15.83 16.83 8 20.2285 7.351502 0.744768

46 15.83 16.83 9 20.2285 7.351502 0.744768

47 15.83 16.83 10 20.2285 17.3515 1.757852

48 11.33 11 11 20.2285 8.351502 0.846077

49 21.08 42.75 12 16.3611 -14.5311 -1.4721250 21.08 43.17 13 16.3611 -7.5311 -0.76296

51 21.08 43.17 14 16.3611 -7.5311 -0.76296

52 21.08 42.75 15 16.3611 -7.5311 -0.76296

53 21.08 42.75 16 20.43205 -3.60205 -0.36492

54 41.08 31.75 17 20.43205 -0.60205 -0.06099

55 41.08 31.75 18 20.43205 -2.10205 -0.21295

56 41.08 31.75 19 20.43205 -5.60205 -0.56753

57 41.08 36.75 20 28.98103 -16.981 -1.72032

58 41.08 44.75 21 24.91009 2.089914 0.211726

59 61.08 36.75 22 28.98103 13.01897 1.31893

60 61.08 55.75 23 28.98103 17.01897 1.72416361 61.08 40.17 24 28.98103 17.01897 1.724163

62 61.08 56.75 25 37.12292 19.87708 2.013713

63 61.33 26.42 26 45.06127 10.68873 1.082858

64 61.33 66.00 27 45.06127 10.68873 1.082858

65 11.33 13.33 28 45.06127 10.68873 1.082858

66 20.08 38.75 29 49.33576 7.664239 0.776451

67 20.08 38.75 30 61.5486 15.4514 1.565356

68 20.08 38.75 31 61.5486 14.4514 1.464047

69 20.08 38.75 32 61.5486 13.4514 1.362739

70 20.08 38.75 33 61.5486 13.4514 1.36273971 20.05 38.75 34 61.5486 -25.5486 -2.58829

72 40.08 54.75 35 61.5486 -5.1286 -0.51957

73 40.08 25.75 36 61.5486 -16.5486 -1.67651

74 40.08 25.75 37 61.5486 -16.1286 -1.63396

75 40.08 54.75 38 61.5486 -24.5486 -2.48698

76 40.08 23.75 39 20.83914 -12.8391 -1.30071

77 40.08 73.08 40 16.3611 -13.5311 -1.37081

78 60.08 57.75 41 16.3611 -13.5311 -1.37081

79 60.08 56.75 42 16.3611 -13.5311 -1.37081

80 60.08 57.75 43 16.3611 -13.5311 -1.37081

81 60.08 58.17 44 24.50299 -9.67299 -0.9799582 61.33 62.00 45 24.50299 -7.67299 -0.77734

83 8.42 9.09 46 24.50299 -7.67299 -0.77734

84 20.58 16.25 47 24.50299 -7.67299 -0.77734

85 20.58 16.25 48 20.83914 -9.83914 -0.99679

86 20.55 16.25 49 28.77748 13.97252 1.415532

87 20.58 16.25 50 28.77748 14.39252 1.458082

88 20.58 16.25 51 28.77748 14.39252 1.458082

89 20.55 16.25 52 28.77748 13.97252 1.415532


33/136

90 23.50 29.17 53 28.77748 13.97252 1.415532

91 20.52 21.19 54 45.06127 -13.3113 -1.34854

92 20.52 20.19 55 45.06127 -13.3113 -1.34854

93 20.52 20.19 56 45.06127 -13.3113 -1.34854

94 20.52 36.19 57 45.06127 -8.31127 -0.842

95 20.52 26.19 58 45.06127 -0.31127 -0.03153

96 20.52 22.19 59 61.34505 -24.5951 -2.4916897 38.42 29.51 60 61.34505 -5.59505 -0.56683

98 35.83 26.51 61 61.34505 -21.1751 -2.14521

99 35.83 27.09 62 61.34505 -4.59505 -0.46552

100 35.83 34.51 63 61.5486 -35.1286 -3.55882

101 35.83 37.09 64 61.5486 4.451402 0.450964

102 35.83 31.51 65 20.83914 -7.50914 -0.76074

103 34.75 55.42 66 27.9633 10.7867 1.092783

104 34.75 28.84 67 27.9633 10.7867 1.092783

105 4.75 14.42 68 27.9633 10.7867 1.092783

106 19.75 22.42 69 27.9633 10.7867 1.092783

107 34.75 42.42 70 27.9633 10.7867 1.092783108 34.75 55.42 71 27.93887 10.81113 1.095258

109 4.75 14.42 72 44.24708 10.50292 1.064033

110 17.25 21.92 73 44.24708 -18.4971 -1.87391

111 17.25 21.92 74 44.24708 -18.4971 -1.87391

112 17.25 21.92 75 44.24708 10.50292 1.064033

113 17.25 21.92 76 44.24708 -20.4971 -2.07652

114 17.25 21.92 77 44.24708 28.83292 2.921015

115 17.25 21.92 78 60.53086 -2.78086 -0.28172

116 19.75 22.42 79 60.53086 -3.78086 -0.38303

117 28.42 32.09 80 60.53086 -2.78086 -0.28172118 28.42 32.09 81 60.53086 -2.36086 -0.23917

119 28.42 32.09 82 61.5486 0.451402 0.045731

120 28.42 32.09 83 18.46985 -9.37985 -0.95026

121 28.42 32.09 84 28.37039 -12.1204 -1.2279

122 28.42 32.09 85 28.37039 -12.1204 -1.2279

123 35.92 46.59 86 28.34596 -12.096 -1.22542

124 40.53 55.51 87 28.37039 -12.1204 -1.2279

125 40.83 56.51 88 28.37039 -12.1204 -1.2279

126 40.83 67.09 89 28.34596 -12.096 -1.22542

127 40.83 57.09 90 30.74782 -1.57782 -0.15985

128 40.83 67.09 91 28.32154 -7.13154 -0.72248129 53.42 55.09 92 28.32154 -8.13154 -0.82379

130 50.83 50.34 93 28.32154 -8.13154 -0.82379

131 50.83 50.34 94 28.32154 7.868461 0.797141

132 50.83 45.34 95 28.32154 -2.13154 -0.21594

133 50.83 47.76 96 28.32154 -6.13154 -0.62118

134 53.42 41.51 97 42.89552 -13.3855 -1.35607

135 53.42 41.09 98 40.78677 -14.2768 -1.44636

136 5.58 19.25 99 40.78677 -13.6968 -1.3876


34/136

137 5.58 19.25 100 40.78677 -6.27677 -0.63589

138 5.58 19.25 101 40.78677 -3.69677 -0.37451

139 6.58 19.25 102 40.78677 -9.27677 -0.93981

140 5.58 19.25 103 39.90745 15.51255 1.57155

141 5.58 19.25 104 39.90745 -11.0675 -1.12122

142 20.58 28.25 105 15.48178 -1.06178 -0.10757

143 20.58 28.25 106 27.69461 -5.27461 -0.53436144 20.55 28.25 107 39.90745 2.51255 0.254542

145 20.58 28.25 108 39.90745 15.51255 1.57155

146 20.58 28.25 109 15.48178 -1.06178 -0.10757

147 20.58 28.25 110 25.65914 -3.73914 -0.37881

148 28.75 32.42 111 25.65914 -3.73914 -0.37881

149 28.75 32.42 112 25.65914 -3.73914 -0.37881

150 28.75 32.42 113 25.65914 -3.73914 -0.37881

151 28.75 32.42 114 25.65914 -3.73914 -0.37881

152 28.75 32.42 115 25.65914 -3.73914 -0.37881

153 28.75 32.42 116 27.69461 -5.27461 -0.53436

154 39.25 56.92 117 34.75363 -2.66363 -0.26985155 39.25 60.92 118 34.75363 -2.66363 -0.26985

156 39.25 59.92 119 34.75363 -2.66363 -0.26985

157 39.25 59.34 120 34.75363 -2.66363 -0.26985

158 39.25 57.92 121 34.75363 -2.66363 -0.26985

159 49.75 47.42 122 34.75363 -2.66363 -0.26985

160 49.75 48.42 123 40.86005 5.729948 0.580491

161 49.75 48.42 124 44.61346 10.89654 1.10391

162 49.75 48.42 125 44.85772 11.65228 1.180473

163 53.42 45.09 126 44.85772 22.23228 2.252315

164 13.42 22.09 127 44.85772 12.23228 1.239232165 6.97 26.64 128 44.85772 22.23228 2.252315

166 6.97 26.64 129 55.10836 -0.01836 -0.00186

167 6.97 26.64 130 52.99961 -2.65961 -0.26944

168 8.42 22.09 131 52.99961 -2.65961 -0.26944

169 21.67 29.34 132 52.99961 -7.65961 -0.77598

170 21.67 29.34 133 52.99961 -5.23961 -0.53082

171 21.67 29.34 134 55.10836 -13.5984 -1.37763

172 28.42 37.09 135 55.10836 -14.0184 -1.42018

173 31.67 34.34 136 16.15755 3.092447 0.313291

174 31.67 35.34 137 16.15755 3.092447 0.313291

175 31.67 29.34 138 16.15755 3.092447 0.313291176 38.42 59.09 139 16.97174 2.278258 0.230807

177 41.67 61.34 140 16.15755 3.092447 0.313291

178 41.67 60.34 141 16.15755 3.092447 0.313291

179 41.67 61.34 142 28.37039 -0.12039 -0.0122

180 53.42 49.09 143 28.37039 -0.12039 -0.0122

181 13.42 11.59 144 28.34596 -0.09596 -0.00972

182 13.42 14.09 145 28.37039 -0.12039 -0.0122

183 10.83 26.50 146 28.37039 -0.12039 -0.0122


35/136

184 10.83 24.50 147 28.37039 -0.12039 -0.0122

185 10.83 33.92 148 35.02232 -2.60232 -0.26364

186 10.83 32.92 149 35.02232 -2.60232 -0.26364

187 10.83 16.09 150 35.02232 -2.60232 -0.26364

188 15.42 18.51 151 35.02232 -2.60232 -0.26364

189 15.42 28.09 152 35.02232 -2.60232 -0.26364

190 15.42 29.09 153 35.02232 -2.60232 -0.26364191 15.42 29.09 154 43.5713 13.3487 1.352334

192 9.42 14.09 155 43.5713 17.3487 1.757568

193 9.42 14.09 156 43.5713 16.3487 1.656259

194 9.42 14.09 157 43.5713 15.7687 1.5975

195 9.42 14.09 158 43.5713 14.3487 1.453643

196 9.42 14.09 159 52.12029 -4.70029 -0.47618

197 10.58 23.25 160 52.12029 -3.70029 -0.37487

198 10.58 23.25 161 52.12029 -3.70029 -0.37487

199 10.55 23.25 162 52.12029 -3.70029 -0.37487

200 10.58 23.25 163 55.10836 -10.0184 -1.01494

201 10.58 23.25 164 22.5408 -0.4508 -0.04567202 10.55 26.25 165 17.28928 9.350724 0.947306

203 20.55 29.25 166 17.28928 9.350724 0.947306

204 20.55 31.25 167 17.28928 9.350724 0.947306

205 20.58 30.25 168 18.46985 3.62015 0.366751

206 20.55 31.25 169 29.25786 0.082144 0.008322

207 20.58 31.25 170 29.25786 0.082144 0.008322

208 20.55 32.25 171 29.25786 0.082144 0.008322

209 30.58 31.25 172 34.75363 2.336367 0.236693

210 30.55 32.25 173 37.39975 -3.05975 -0.30998

211 30.58 31.25 174 37.39975 -2.05975 -0.20867212 30.58 32.25 175 37.39975 -8.05975 -0.81652

213 30.58 31.25 176 42.89552 16.19448 1.640635

214 30.55 29.25 177 45.54164 15.79836 1.600506

215 40.83 61.50 178 45.54164 14.79836 1.499197

216 40.83 61.50 179 45.54164 15.79836 1.600506

217 40.83 58.50 180 55.10836 -6.01836 -0.60971

218 40.83 57.92 181 22.5408 -10.9508 -1.10941

219 40.83 57.50 182 22.5408 -8.4508 -0.85614

220 50.83 51.50 183 20.43205 6.067954 0.614734

221 50.83 51.50 184 20.43205 4.067954 0.412118

222 50.83 49.50 185 20.43205 13.48795 1.366442223 50.83 48.50 186 20.43205 12.48795 1.265134

224 63.42 49.09 187 20.43205 -4.34205 -0.43989

225 53.42 52.09 188 24.16917 -5.65917 -0.57332

226 22.58 23.25 189 24.16917 3.920826 0.397212

227 22.58 21.25 190 24.16917 4.920826 0.498521

228 20.83 22.50 191 24.16917 4.920826 0.498521

229 20.83 22.50 192 19.28404 -5.19404 -0.5262

230 20.83 27.50 193 19.28404 -5.19404 -0.5262


36/136


37/136

278 25.42 31.69 241 20.43205 -5.93205 -0.60097

279 26.67 27.34 242 20.43205 -2.93205 -0.29704

280 26.67 32.34 243 20.43205 -5.93205 -0.60097

281 26.67 26.76 244 20.43205 -5.93205 -0.60097

282 23.42 10.51 245 21.11596 -3.61596 -0.36633

283 11.67 18.34 246 21.11596 -3.61596 -0.36633

284 11.67 18.34 247 21.11596 -3.61596 -0.36633285 11.67 18.34 248 21.11596 -3.61596 -0.36633

286 13.42 8.09 249 28.57394 -2.07394 -0.21011

287 11.67 22.34 250 28.57394 2.926063 0.296435

288 11.67 21.34 251 28.57394 -0.07394 -0.00749

289 11.67 21.34 252 28.57394 -2.07394 -0.21011

290 13.42 16.09 253 32.64488 1.855117 0.187939

291 21.67 29.34 254 32.64488 1.855117 0.187939

292 21.67 30.34 255 32.64488 1.855117 0.187939

293 21.67 30.34 256 32.64488 1.855117 0.187939

294 28.42 31.09 257 36.71583 -6.79583 -0.68847

295 26.67 24.34 258 36.71583 -5.79583 -0.58717296 26.67 35.34 259 36.71583 -5.21583 -0.52841

297 26.67 35.34 260 36.71583 -2.21583 -0.22448

298 28.42 37.09 261 44.85772 21.64228 2.192543

299 31.67 37.34 262 44.85772 24.64228 2.496468

300 31.67 37.34 263 44.85772 23.64228 2.39516

301 31.67 39.76 264 44.61346 21.88654 2.217288

302 38.42 63.09 265 52.99961 0.340388 0.034484

303 41.67 67.34 266 52.99961 1.340388 0.135792

304 41.67 67.34 267 52.99961 8.760388 0.8875

305 41.67 67.34 268 52.99961 -1.65961 -0.16813306 53.42 64.09 269 55.10836 -3.01836 -0.30579

307 51.67 51.34 270 55.10836 -3.01836 -0.30579

308 51.67 50.76 271 55.10836 -3.01836 -0.30579

309 51.67 46.34 272 29.99877 8.251232 0.835919

310 53.42 50.09 273 29.99877 13.25123 1.34246

311 53.42 49.09 274 29.99877 20.25123 2.051618

275 28.57394 0.926063 0.093818

276 28.57394 0.926063 0.093818

277 28.57394 9.426063 0.954939

278 32.31107 -0.62107 -0.06292

279 33.3288 -5.9888 -0.60672280 33.3288 -0.9888 -0.10017

281 33.3288 -6.5688 -0.66547

282 30.68269 -20.1727 -2.04366

283 21.11596 -2.77596 -0.28123

284 21.11596 -2.77596 -0.28123

285 21.11596 -2.77596 -0.28123

286 22.5408 -14.4508 -1.46399

287 21.11596 1.224035 0.124005


38/136

288 21.11596 0.224035 0.022697

289 21.11596 0.224035 0.022697

290 22.5408 -6.4508 -0.65352

291 29.25786 0.082144 0.008322

292 29.25786 1.082144 0.10963

293 29.25786 1.082144 0.10963

294 34.75363 -3.66363 -0.37116295 33.3288 -8.9888 -0.91064

296 33.3288 2.011198 0.203751

297 33.3288 2.011198 0.203751

298 34.75363 2.336367 0.236693

299 37.39975 -0.05975 -0.00605

300 37.39975 -0.05975 -0.00605

301 37.39975 2.360252 0.239113

302 42.89552 20.19448 2.045869

303 45.54164 21.79836 2.208356

304 45.54164 21.79836 2.208356

305 45.54164 21.79836 2.208356

306 55.10836 8.981638 0.909915

307 53.68353 -2.34353 -0.23742

308 53.68353 -2.92353 -0.29618

309 53.68353 -7.34353 -0.74396

310 55.10836 -5.01836 -0.5084

311 55.10836 -6.01836 -0.60971


39/136

gnificance F1.29E-69

Lower 95%Upper 95%ower 95.0 pper 95.0%

9.376949 13.85181 9.376949 13.85181

0.745106 0.883272 0.745106 0.883272

Based on the regression results, the model and all its parameters appear to be significant

50.00 60.00 70.00

ngth

-40

-20

0

20

40

0.00 20.00 40.00 60.00 80.00Residuals

X Variable 1

X Variable 1 Residual Plot


40/136


41/136


42/136


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48/136

Concert Sales SUMMARY OUTPUT

ThousandThousands of

Sales ($10Radio&TV Newspaper ads Regression Statistics

$1,119.00 0 40 Multiple R 0.696608

$973.00 0 40 R Square 0.485263

$875.00 25 25 Adjusted R 0.459526

$625.00 25 25 Standard E 254.0524$910.00 30 30 Observatio 22

$971.00 30 30

$931.00 35 35 ANOVA

$1,177.00 35 35 df SS MS F

$882.00 40 25 Regression 1 1216940 1216940 18.85482

$982.00 40 25 Residual 20 1290853 64542.65

$1,628.00 45 45 Total 21 2507793

$1,577.00 45 45

$1,044.00 50 50 Coefficientsandard Err t Stat P-value

$914.00 50 50 Intercept 699.9572 132.5218 5.281828 3.61E-05

$1,329.00 55 20 Radio&TV 12.16204 2.800886 4.342213 0.000316

$1,330.00 55 20

$1,405.00 60 30

$1,436.00 60 30 SUMMARY OUTPUT (MODEL 2)

$1,521.00 65 35

$1,741.00 65 35 Regression Statistics

$1,866.00 70 40 Multiple R 0.264272

$1,717.00 70 40 R Square 0.06984

Adjusted R 0.023332

Standard E 341.515

Observatio 22

ANOVA

df SS MS F

Regression 1 175143.3 175143.3 1.501669

Residual 20 2332649 116632.5

Total 21 2507793


Intercept 877.2432 293.084 2.993146 0.007186

Newspape 10.20486 8.327607 1.225426 0.23465

SUMMARY OUTPUT


Multiple R 0.73781

R Square 0.544363

Adjusted R 0.496401


49/136

Standard E 245.2327

Observatio 22

ANOVA

df SS MS F

Regression 2 1365150 682574.9 11.34994

Residual 19 1142643 60139.1Total 21 2507793


Intercept 385.3814 237.7349 1.621055 0.121484

Radio&TV 12.03232 2.704913 4.448322 0.000276

Newspape 9.39187 5.982624 1.569858 0.132952


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MODEL 1 (Sales as a function of Radio&TV ads is the be

Here are the residual related results.

RESIDUAL OUTPUT

Observatio ted Sales ( Residuals dard Resid

14 1308.059 -394.059 -1.58944 1004.008 -379.008 -1.52869

9 1186.439 -304.439 -1.22792

13 1308.059 -264.059 -1.06506

gnificance F 10 1186.439 -204.439 -0.82458

0.000316 7 1125.629 -194.629 -0.78502

5 1064.819 -154.819 -0.62444

3 1004.008 -129.008 -0.52034

6 1064.819 -93.8185 -0.37841

Lower 95%Upper 95%ower 95.0 pper 95.0% 15 1368.87 -39.8696 -0.16081

423.5216 976.3927 423.5216 976.3927 16 1368.87 -38.8696 -0.15678

6.319498 18.00459 6.319498 18.00459 17 1429.68 -24.6798 -0.09954

18 1429.68 6.320166 0.025492

19 1490.49 30.50994 0.123059

8 1125.629 51.37127 0.207201

22 1551.3 165.6997 0.668333

20 1490.49 250.5099 1.010407

2 699.9572 273.0428 1.101291

21 1551.3 314.6997 1.26931

12 1247.249 329.7508 1.330017

11 1247.249 380.7508 1.53572

1 699.9572 419.0428 1.690167

gnificance F

0.23465


265.8807 1488.606 265.8807 1488.606

-7.16622 27.57595 -7.16622 27.57595

Residuals appear to be random and there appears to b


51/136

gnificance F

0.000571


-112.204 882.9664 -112.204 882.9664

6.370875 17.69377 6.370875 17.69377

-3.1299 21.91365 -3.1299 21.91365


52/136

st mdoel)

als

no outliers.


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SUMMARY OUTPUT


Multiple R 0.745495

R Square 0.555762

Adjusted R Square 0.532981

Standard Error 7211.848Observations 42

ANOVA

df SS MS F ignificance F

Regression 2 2537650171 1268825085 24.39544 1.34E-07

Residual 39 2028419591 52010758.7

Total 41 4566069762

Coefficients tandard Erro t Stat P-value Lower 95% Upper 95% ower 95.0

Intercept 47331.38 13884.3466 3.40897435 0.001528 19247.64 75415.12 19247.64

House Age -825.1612 607.312842 -1.3587087 0.182046 -2053.567 403.2449 -2053.57

Square Feet 40.91107 6.69652399 6.10929917 3.65E-07 27.36607 54.45607 27.36607

Delete House Age

SUMMARY OUTPUT


Multiple R 0.731255

R Square 0.534734

Adjusted R Square 0.523103Standard Error 7287.723

Observations 42

ANOVA

df SS MS F ignificance F

Regression 1 2441633669 2441633669 45.97236 3.8E-08

Residual 40 2124436093 53110902.3

Total 41 4566069762

Coefficients tandard Erro t Stat P-value Lower 95% Upper 95%Intercept 32673.22 8831.95074 3.69943412 0.00065 14823.18 50523.26

Square Feet 35.03637 5.16738385 6.78029223 3.8E-08 24.5927 45.48004


54/136

pper 95.0%

75415.12

403.2449

54.45607


55/136

Cereal Data

Product Cereal Na Manufact Calories Carbs Sugars Fiber Sodium

1 100% BranNabisco 70 5 6 10 130

2 AlI-Bran Kellogg 70 7 5 9 260

3 All-Bran w/ Kellogg 50 8 0 14 140

4 Almond DeRalston Pu 110 14 8 1 2005 Apple Cinn General Mi 110 10.50 10 1.50 180

6 Apple JackKellogg 110 11 14 1 125

7 Basic 4 General Mi 130 18 8 2 210

8 Bran Chex Ralston Pu 90 15 6 4 200

9 Bran Flake Post 90 13 5 5 210

10 Cap'n'CrunQuaker 120 12 12 0 220

11 Cheerios General Mi 110 17 1 2 290

12 Cinnamon General Mi 120 13 9 0 210

13 Clusters General Mi 110 13 7 2 140

14 Cocoa Puf General Mi 110 12 13 0 180

15 Corn Chex Ralston Pu 110 22 3 0 280

16 Corn FlakeKellogg 100 21 2 1 290

17 Corn Pops Kellogg 110 13 12 1 90

18 Count Cho General Mi 110 12 13 0 180

19 Cracklin' OKellogg 110 10 7 4 140

20 Cream of Nabisco 100 21 0 1 80

21 Crispix Kellogg 110 21 3 1 220

22 Crispy Wh General Mi 100 11 10 2 140

23 Double Ch Ralston Pu 100 18 5 1 190

24 Froot Loop Kellogg 110 11 13 1 125

25 Frosted Fl Kellogg 110 14 11 1 20026 Frosted Mi Kellogg 100 14 7 3 0

27 Fruit & Fib Post 120 12 10 5 160

28 Fruitful BraKellogg 120 14 12 5 240

29 Fruity Peb Post 110 13 12 0 135

30 Golden Gr General Mi 110 15 9 0 280

31 Grape Nut Post 100 15 5 3 140

32 Grape-Nut Post 110 17 3 3 170

33 Great Grai Post 120 13 4 3 75

34 Honey Co Post 110 14 11 0 180

35 Honey Gra Quaker 120 12 11 1 22036 Honey Nut General Mi 110 11.50 10 1.50 250

37 Just Right Kellogg 110 17 6 1 170

38 Just Right Kellogg 140 20 9 2 170

39 Kix General Mi 110 21 3 0 260

40 Life Quaker 100 12 6 2 150

41 Lucky Cha General Mi 110 12 12 0 180

42 Mueslix CriKellogg 160 17 13 3 150

43 Multi-Grain General Mi 100 15 6 2 220


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44 Nut & Hon Kellogg 120 15 9 0 190

45 Oatmeal R General Mi 130 13.50 10 1.50 170

46 Post Nat. Post 120 11 14 6 200

47 Product 19 Kellogg 100 20 3 1 320

48 Puffed Ric Quaker 50 13 0 0 0

49 Puffed Wh Quaker 50 10 0 1 0

50 Quaker OaQuaker 100 14 6 2 13551 Raisin Bra Kellogg 120 14 12 5 210

52 Raisin Squ Kellogg 90 15 6 2 0

53 Rice Chex Ralston Pu 110 23 2 0 240

54 Rice Krispi Kellogg 110 22 3 0 290

55 Shrdded Nabisco 90 20 0 3 0

56 Shredded Nabisco 80 16 0 3 0

57 Shredded Nabisco 90 19 0 4 0

58 Smacks Kellogg 110 9 15 1 70

59 Special K Kellogg 110 16 3 1 230

60 Strawberry Nabisco 90 15 5 3 15

61 Total Corn General Mi 110 21 3 0 200

62 Total Raisi General Mi 140 15 14 4 190

63 Total Whol General Mi 100 16 3 3 200

64 Trix General Mi 110 13 12 0 140

65 Wheat Ch Ralston Pu 100 17 3 3 230

66 Wheaties General Mi 100 17 3 3 200

67 Wheaties General Mi 110 18 8 1 200


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SUMMARY OUTPUT


Multiple R 0.861579

R Square 0.742318

Adjusted R 0.725694


ANOVA


Regression 4 17263.89 4315.972 44.65175 1.33E-17

Residual 62 5992.829 96.65853

Total 66 23256.72


Intercept 21.89118 8.966534 2.441432 0.017497 3.967337 39.81503 3.967337 39.81503

Sodium 0.024335 0.016273 1.495425 0.139876 -0.00819 0.056865 -0.00819 0.056865

Fiber 0.659166 0.600095 1.098436 0.276262 -0.54041 1.858739 -0.54041 1.858739 eliminate

Carbs 3.433356 0.462253 7.427441 3.9E-10 2.509326 4.357387 2.509326 4.357387

Sugars 3.941236 0.363099 10.85444 5.71E-16 3.215411 4.667061 3.215411 4.667061

SUMMARY OUTPUT


Multiple R 0.858664

R Square 0.737304Adjusted R 0.724794

Standard E 9.847611

Observatio 67

ANOVA


Regression 3 17147.26 5715.754 58.94022 2.86E-18

Residual 63 6109.453 96.97545

Total 66 23256.72


Intercept 28.50359 6.656205 4.282259 6.43E-05 15.20223 41.80496 15.20223 41.80496

Sodium 0.026815 0.016142 1.661184 0.101646 -0.00544 0.059073 -0.00544 0.059073 eliminate

Carbs 3.141084 0.378612 8.296309 1.08E-11 2.384488 3.89768 2.384488 3.89768

Sugars 3.758706 0.323372 11.62348 2.56E-17 3.112499 4.404913 3.112499 4.404913

SUMMARY OUTPUT BEST MODEL The model and the parameters are significant


58/136

The variability explained by the model is high


Multiple R 0.851937

R Square 0.725797

Adjusted R 0.717228

Standard E 9.982062

Observatio 67

ANOVA


Regression 2 16879.66 8439.828 84.70188 1.04E-18

Residual 64 6377.06 99.64156

Total 66 23256.72


Intercept 28.7602 6.745266 4.26376 6.75E-05 15.28498 42.23541 15.28498 42.23541

Carbs 3.358327 0.36016 9.32453 1.54E-13 2.638824 4.07783 2.638824 4.07783

Sugars 3.905585 0.315296 12.38704 1.18E-18 3.275708 4.535461 3.275708 4.535461


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60/136


61/136


62/136

$23,100 $11,250 13 12

$25,500 $11,400 9 12

$17,100 $10,200 0 8

$68,125 $32,490 29 18

$30,600 $15,750 460 12

$52,125 $27,480 221 19

$61,875 $36,750 199 19$21,300 $11,550 24 8

$19,650 $11,250 5 12

$22,350 $11,250 5 12

$23,400 $11,250 18 12

$24,300 $10,950 8 12

$28,500 $11,250 4 12

$19,950 $11,250 8 12

$23,400 $11,250 0 12

$34,500 $17,250 3 16

$18,150 $10,950 0 12

$21,750 $12,450 318 8

$59,400 $33,750 272 12

$24,450 $14,250 117 12

$103,500 $60,000 150 16

$35,700 $16,500 72 12

$22,200 $16,500 7 12

$22,950 $13,950 22 15

$23,100 $12,000 228 12

$56,750 $30,000 15 16

$29,100 $12,750 375 17

$37,650 $15,750 132 12$27,900 $13,500 32 12

$21,150 $12,000 159 8

$31,200 $15,750 155 12

$20,550 $11,250 154 12

$20,700 $11,250 2 12

$21,300 $11,250 3 12

$24,300 $15,000 121 12

$19,650 $13,950 133 12

$60,000 $32,490 17 17

$30,300 $15,750 55 15

$61,250 $33,000 9 19

$36,000 $19,500 21 19

$25,200 $18,750 344 8

$30,750 $15,000 56 12

$33,540 $15,750 47 12

$34,950 $20,250 55 16

$40,350 $16,500 80 15

$30,270 $15,750 80 12


63/136

$26,250 $16,050 264 8

$32,400 $15,000 64 15

$20,400 $11,250 0 12

$24,150 $12,750 96 8

$23,850 $13,500 122 15

$29,700 $13,500 26 12

$21,600 $13,500 228 8$24,450 $15,750 87 12

$28,050 $16,500 84 15

$100,000 $44,100 128 16

$49,000 $20,550 86 15

$16,350 $10,200 163 12

$70,000 $21,750 19 16


64/136

SUMMARY OUTPUT


Multiple R 0.89616

R Square 0.803102

Adjusted R 0.796949

Standard E 7790.875

Observatio 100

ANOVA


Regression 3 2.38E+10 7.92E+09 130.5208 9.41E-34

Residual 96 5.83E+09 60697728Total 99 2.96E+10


Intercept -4139.24 4203.358 -0.98475 0.327225 -12482.8 4204.362 -12482.8 4204.362 eliminate

Beginning 1.730242 0.113811 15.20279 2.67E-27 1.504329 1.956154 1.504329 1.956154

Previous E -10.9071 7.770951 -1.40357 0.163672 -26.3323 4.518108 -26.3323 4.518108

Education 719.1221 351.7339 2.044506 0.043641 20.93581 1417.308 20.93581 1417.308

SUMMARY OUTPUT BEST MODEL


Multiple R 0.979161

R Square 0.958756

Adjusted R 0.947597

Standard E 7789.659

Observatio 100

ANOVA


Regression 3 1.37E+11 4.56E+10 751.6261 1.65E-66

Residual 97 5.89E+09 60678782

Total 100 1.43E+11


Intercept 0 #N/A #N/A #N/A #N/A #N/A #N/A #N/A

Beginning 1.752846 0.111454 15.72701 1.96E-28 1.53164 1.974052 1.53164 1.974052

Previous E -13.6794 7.241945 -1.88891 0.061891 -28.0527 0.693861 -28.0527 0.693861


65/136

Education 407.8616 154.2768 2.643699 0.009564 101.6648 714.0584 101.6648 714.0584


66/136


67/136


68/136


69/136

Credit Approval Decisions

Homeowner Credit Score Years of Credit History Revolving Balance

Y 725 20 11,320$

Y 573 9 7,200$

Y 677 11 20,000$

Y 625 15 12,800$Y 527 12 5,700$

Y 795 22 9,000$

Y 733 7 35,200$

N 620 5 22,800$

N 591 17 16,500$

N 660 24 9,200$

Y 700 19 22,000$

Y 500 16 12,500$

Y 565 6 7,700$

Y 620 3 37,400$

Y 774 13 6,100$

Y 802 10 10,500$

Y 640 7 17,300$

Y 523 14 27,000$

Y 811 20 13,400$

N 763 2 11,200$

Y 555 4 2,500$

Y 617 9 8,400$

Y 642 13 16,000$

Y 688 3 3,300$

Y 649 12 7,500$N 695 15 20,300$

N 701 9 11,700$

Y 635 7 29,100$

N 507 2 2,000$

N 677 12 7,600$

N 485 5 1,000$

N 582 3 8,500$

Y 699 17 12,800$

N 703 22 10,000$

N 585 18 31,000$N 620 8 16,200$

Y 695 16 9,700$

N 774 13 6,100$

N 802 10 10,500$

Y 640 7 17,300$

N 536 14 27,000$

Y 801 20 13,400$

N 760 2 11,200$


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N 567 4 2,200$

N 600 10 12,050$

N 702 11 11,700$

N 636 8 29,100$

N 509 3 2,000$

Y 595 18 29,000$

N 733 15 13,000$


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Revolving Utilization Decision

25% Approve SUMMARY OUTPUT

70% Approve

55% Approve Regression Statistics

65% Approve Multiple R 0.81525575% Approve R Square 0.664641

12% Approve Adjusted R 0.642769

20% Approve Standard E 53.80668

62% Reject Observatio 50

50% Reject

35% Approve ANOVA

18% Approve df SS MS F

83% Approve Regression 3 263940.8 87980.26 30.38875

70% Approve Residual 46 133177.3 2895.159

87% Approve Total 49 397118.1

7% Approve

5% Approve Coefficientsandard Err t Stat P-value

59% Approve Intercept 771.8923 26.91241 28.68165 5.37E-31

79% Approve eliminate Years of C -2.09848 1.490347 -1.40805 0.165839

3% Approve Revolving 0.001565 0.000887 1.764622 0.084266

70% Approve Revolving -246.228 27.93194 -8.81527 1.91E-11

100% Approve

34% Approve

25% Approve SUMMARY OUTPUT

11% Approve

5% Approve Regression Statistics22% Reject Multiple R 0.806341

15% Reject R Square 0.650187

85% Reject Adjusted R 0.635301

100% Reject Standard E 54.36622

9% Reject Observatio 50

80% Reject

65% Reject ANOVA

27% Reject df SS MS F

20% Reject Regression 2 258200.8 129100.4 43.67867

78% Reject Residual 47 138917.2 2955.68655% Reject Total 49 397118.1

11% Reject

7% Reject Coefficientsandard Err t Stat P-value

5% Reject Intercept 742.6533 17.29729 42.93467 2.31E-39

59% Reject eliminate Revolving 0.001274 0.000872 1.461664 0.150488

79% Reject Revolving -225.931 24.17379 -9.34611 2.71E-12

3% Reject

70% Reject


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95% Reject SUMMARY OUTPUT BEST MODEL

81% Reject

15% Reject Regression Statistics

85% Reject Multiple R 0.79642

100% Reject R Square 0.634285

78% Reject Adjusted R 0.626666

24% Reject Standard E 55.00605Observatio 50

ANOVA

df SS MS F

Regression 1 251886.1 251886.1 83.24982

Residual 48 145232 3025.666

Total 49 397118.1


Intercept 757.9223 13.94888 54.33572 9.12E-45

Revolving -220.732 24.1921 -9.12413 4.66E-12

Since there is only one variable left in the final model, multi colline


73/136

gnificance F

5.53E-11


717.7204 826.0641 717.7204 826.0641

-5.09839 0.901431 -5.09839 0.901431

-0.00022 0.003351 -0.00022 0.003351

-302.452 -190.004 -302.452 -190.004

gnificance F

1.91E-11


707.8557 777.451 707.8557 777.451

-0.00048 0.003027 -0.00048 0.003027

-274.562 -177.299 -274.562 -177.299


74/136


75/136

Freshman College Data

College Year Avg ACT HS GPA Avg SAT % top 10 % top 20 1st year retention rate

Liberal Art 2007 21.90 3.075 1041.00 10.70% 19.70% 67.65%

Liberal Art 2008 21.91 3.170 1036.44 13.45% 30.57% 67.10%

Liberal Art 2009 21.80 3.179 1037.90 13.70% 27.50% 68.80%

Liberal Art 2010 22.01 3.190 1061.37 14.43% 29.49% 72.00%Music 2007 23.80 3.281 1133.20 18.20% 37.70% 76.43%

Music 2008 24.03 3.401 1135.67 17.58% 41.76% 78.80%

Music 2009 24.10 3.477 1148.90 32.60% 53.90% 87.70%

Music 2010 25.54 3.494 1162.25 31.53% 53.15% 86.60%

Education 2007 20.70 2.997 993.00 1.80% 17.50% 70.18%

Education 2008 21.27 3.184 973.28 10.96% 23.29% 67.00%

Education 2009 21.50 3.199 1015.50 12.70% 31.00% 75.90%

Education 2010 20.81 3.004 986.14 8.40% 20.00% 67.50%

Engineerin 2007 26.60 3.516 1200.00 33.50% 62.00% 74.17%

Engineerin 2008 26.47 3.603 1195.52 42.07% 63.79% 85.40%

Engineerin 2009 26.30 3.565 1200.50 33.70% 60.50% 82.70%

Engineerin 2010 26.23 3.535 1206.09 31.45% 56.40% 84.90%

Business 2007 22.70 3.197 1064.90 8.90% 19.10% 64.33%

Business 2008 22.94 3.346 1075.42 15.90% 33.47% 79.10%

Business 2009 22.70 3.199 1065.90 9.60% 22.90% 76.90%

Business 2010 22.94 3.237 1077.93 11.65% 24.92% 76.70%

Architectu 2007 26.10 3.574 1211.50 36.00% 68.40% 91.45%

Architectu 2008 26.30 3.601 1193.11 40.46% 65.32% 89.90%

Architectu 2009 26.00 3.617 1194.60 36.30% 67.40% 88.50% eliminate

Architectu 2010 26.25 3.637 1200.57 33.45% 62.72% 85.80%

North Cen 2007 19.00 2.623 901.00 2.90% 6.69% 59.88%North Cen 2008 19.06 2.542 923.81 1.81% 8.46% 65.10%

North Cen 2009 19.00 2.603 924.00 1.80% 6.00% 65.70%

North Cen 2010 19.22 2.671 920.23 3.17% 10.32% 63.20%

Nursing 2007 21.60 3.278 1025.40 21.10% 36.80% 72.55%

Nursing 2008 21.90 3.329 1010.68 14.63% 21.95% 76.40%

Nursing 2009 22.70 3.402 1003.40 20.40% 37.00% 80.00%

Nursing 2010 22.12 3.347 1019.42 17.58% 41.76% 73.50%

Vocational 2007 21.00 2.856 1014.90 6.70% 16.30% 66.30%

Vocational 2008 21.06 2.905 1013.24 5.44% 16.33% 67.70%

Vocational 2009 21.10 2.839 1013.30 5.90% 14.10% 73.10%Vocational 2010 18.99 2.527 936.06 1.55% 5.17% 67.00%

South Cen 2007 19.50 2.718 932.00 2.50% 15.00% 59.88%

South Cen 2008 19.62 2.704 897.24 5.39% 14.22% 63.60%

South Cen 2009 19.00 2.738 924.80 5.20% 14.20% 66.90%

South Cen 2010 19.43 2.689 961.07 4.35% 13.04% 61.80%

Health Sci 2007 21.20 3.084 956.50 13.80% 34.50% 72.55%

Health Sci 2008 20.97 3.188 970.00 23.33% 43.33% 52.50%

Health Sci 2009 22.00 3.211 996.20 8.60% 20.70% 75.40%


76/136

Health Sci 2010 21.61 3.339 980.87 7.79% 31.17% 72.50%

eliminate

eliminate


77/136

eliminate

Check colli

0.016338None exist


78/136

SUMMARY OUTPUT


Multiple R 0.868009R Square 0.75344

Adjusted R 0.713457

Standard E 0.048811

Observatio 44

ANOVA


Regression 6 0.269378 0.044896 18.8441 6.61E-10

Residual 37 0.088153 0.002383

Total 43 0.357531


Intercept -25.3751 13.28663 -1.90982 0.063932 -52.2964 1.546191 -52.2964 1.546191

Year 0.012612 0.006619 1.905444 0.064516 -0.0008 0.026024 -0.0008 0.026024

Avg ACT 0.014888 0.021465 0.693569 0.492284 -0.02861 0.05838 -0.02861 0.05838

Avg SAT 0.000265 0.000381 0.694769 0.49154 -0.00051 0.001038 -0.00051 0.001038

HS GPA 0.054941 0.068562 0.801341 0.428051 -0.08398 0.193861 -0.08398 0.193861

% top 10% 0.12248 0.294705 0.415603 0.680101 -0.47465 0.71961 -0.47465 0.71961

% top 20% -0.08111 0.203988 -0.39761 0.693204 -0.49443 0.332212 -0.49443 0.332212

SUMMARY OUTPUT


Multiple R 0.867402

R Square 0.752386

Adjusted R 0.719805

Standard E 0.048267

Observatio 44

ANOVAdf SS MS F gnificance F

Regression 5 0.269001 0.0538 23.09294 1.39E-10

Residual 38 0.08853 0.00233

Total 43 0.357531


Intercept -25.3866 13.13859 -1.93221 0.060814 -51.9842 1.211129 -51.9842 1.211129

Year 0.01263 0.006545 1.929704 0.061134 -0.00062 0.02588 -0.00062 0.02588


79/136

Avg ACT 0.014525 0.021207 0.684929 0.497546 -0.02841 0.057457 -0.02841 0.057457

Avg SAT 0.000267 0.000377 0.707276 0.48371 -0.0005 0.00103 -0.0005 0.00103

HS GPA 0.045801 0.063874 0.71706 0.477722 -0.0835 0.175106 -0.0835 0.175106

% top 10% 0.024919 0.161413 0.154381 0.878126 -0.30184 0.351683 -0.30184 0.351683

SUMMARY OUTPUT


Multiple R 0.867312

R Square 0.752231

Adjusted R 0.726818

Standard E 0.047659

Observatio 44

ANOVA


Regression 4 0.268946 0.067236 29.60112 2.39E-11

Residual 39 0.088585 0.002271

Total 43 0.357531


Intercept -25.3917 12.97308 -1.95726 0.057501 -51.6323 0.848789 -51.6323 0.848789

Year 0.012622 0.006463 1.953158 0.058003 -0.00045 0.025694 -0.00045 0.025694

Avg ACT 0.015784 0.019331 0.816523 0.419161 -0.02332 0.054884 -0.02332 0.054884

Avg SAT 0.00026 0.00037 0.702995 0.486234 -0.00049 0.001008 -0.00049 0.001008

HS GPA 0.047016 0.062589 0.751182 0.457052 -0.07958 0.173614 -0.07958 0.173614

SUMMARY OUTPUT


Multiple R 0.8655

R Square 0.749091

Adjusted R 0.730273

Standard E 0.047357

Observatio 44

ANOVA


Regression 3 0.267823 0.089274 39.80679 4.39E-12

Residual 40 0.089708 0.002243

Total 43 0.357531


Intercept -25.9565 12.86605 -2.01744 0.050394 -51.9598 0.04673 -51.9598 0.04673


80/136

Year 0.012928 0.006407 2.017733 0.050362 -2.1E-05 0.025877 -2.1E-05 0.025877

Avg ACT 0.028189 0.007842 3.594799 0.000881 0.012341 0.044038 0.012341 0.044038

HS GPA 0.030068 0.057393 0.523892 0.603245 -0.08593 0.146064 -0.08593 0.146064



Multiple R 0.864505

R Square 0.747369

Adjusted R 0.735046

Standard E 0.046936

Observatio 44

ANOVA


Regression 2 0.267208 0.133604 60.64615 5.64E-13

Residual 41 0.090323 0.002203

Total 43 0.357531


Intercept -26.4858 12.71234 -2.08347 0.043484 -52.1589 -0.81269 -52.1589 -0.81269

Year 0.013196 0.00633 2.084811 0.043355 0.000413 0.025979 0.000413 0.025979

Avg ACT 0.031986 0.002968 10.77865 1.55E-13 0.025993 0.037979 0.025993 0.037979

nearity

s!


81/136

2010 Major League Baseball Statistics

Team Won Lost Runs Hits Strike Out Earned R Walks Runs Batt Triples

Arizona 65 97 713 1366 1529 4.81 589 691 34

Atlanta 91 71 738 1411 1140 3.56 634 699 25

Baltimore 66 96 613 1440 1056 4.59 424 577 21

Boston 89 73 818 1511 1140 4.19 587 782 22Chicago 75 87 685 1414 1236 4.18 479 658 27

Chicago S 88 74 752 1467 922 4.09 467 710 21

Cincinnati 91 71 790 1515 1218 4.01 522 761 30

Cleveland 69 93 646 1362 1184 4.3 545 601 20

Colorado 83 79 770 1452 1274 4.14 585 741 54

Detroit 81 81 751 1515 1147 4.3 546 717 32

Florida 80 82 719 1403 1375 4.08 514 686 37

Houston 76 86 611 1348 1025 4.09 415 577 25

Kansas Ci 67 95 676 1534 905 4.97 471 640 31

LA Angels 80 82 681 1363 1070 4.04 466 656 19

LA Dodge 80 82 667 1368 1184 4.01 533 621 29

Milwauke 77 85 750 1471 1216 4.58 546 710 33

Minnesot 94 68 781 1521 967 3.95 559 749 41

NY Mets 79 83 656 1361 1095 3.7 502 625 40

NY Yanke 95 67 859 1485 1136 4.06 662 823 32

Oakland 81 81 663 1396 1061 3.56 527 619 30

Philadelp 97 65 772 1451 1064 3.67 560 736 34

Pittsburg 57 105 587 1303 1207 5 463 570 27

San Diego 90 72 665 1338 1183 3.39 538 630 24

San Franc 92 70 697 1411 1099 3.36 487 660 30

Seattle 61 101 513 1274 1184 3.93 459 485 16St. Louis 86 76 736 1456 1027 3.57 541 689 18

Tampa Ba 96 66 802 1343 1292 3.78 672 769 37

Texas 90 72 787 1556 986 3.93 511 740 25

Toronto 85 77 755 1364 1164 4.22 471 732 21

Washingt 69 93 655 1355 1220 4.13 503 634 31


82/136


83/136


84/136


85/136

Doubles Home Runs Won Lost Runs Hits Doubles Triples

301 180 Won 1.00

312 139 Lost (1.00) 1.00

264 133 Runs 0.78 (0.78) 1.00

358 211 Hits 0.45 (0.45) 0.68 1.00298 149 Doubles 0.33 (0.33) 0.61 0.43 1.00

263 177 Triples 0.21 (0.21) 0.36 0.21 0.12 1.00

293 188 Home Run 0.44 (0.44) 0.73 0.35 0.56 0.07

290 128 Runs Batte 0.76 (0.76) 0.99 0.65 0.62 0.39

270 173 Earned Ru (0.68) 0.68 (0.16) 0.09 0.14 0.02

308 152 Strike Out (0.23) 0.23 0.00 (0.42) 0.14 0.30294 152 Walks 0.53 (0.53) 0.68 0.21 0.42 0.42

252 108

279 121

276 155 Based on the correlation matrix, we might model wins as a function of Hits, D

270 120

293 182

318 142 SUMMARY OUTPUT266 128

275 201 Regression Statistics

276 109 Multiple R 0.979572

290 166 R Square 0.959562

276 126 Adjusted R 0.941365

236 132 Standard E 2.664757284 162 Observatio 30

227 101285 150 ANOVA

295 160 df SS MS F gnificance

268 162 Regression 9 3369.981 374.4424 52.73146 5.61E-12

319 257 Residual 20 142.0186 7.10093250 149 Total 29 3512

Coefficientsandard Err t Stat P-value Lower 95%

Intercept 106.925 16.03975 6.666254 0.00 73.46671

Runs 0.146258 0.098985 1.477579 0.16 -0.06022

Hits -0.03387 0.016161 -2.09552 0.05 -0.06758Doubles 0.012624 0.02606 0.484432 0.63 -0.04174

Triples 0.014704 0.088464 0.166212 0.87 -0.16983

Home Run -0.04952 0.038814 -1.27578 0.22 -0.13048

Strike Out -0.01253 0.006291 -1.99163 0.06 -0.02565

eliminate Runs Batt 0.008623 0.096642 0.089225 0.93 -0.19297

Earned Ru -13.0329 1.620706 -8.04148 0.00 -16.4136

Walks -0.03151 0.018139 -1.73715 0.10 -0.06935


86/136

SUMMARY OUTPUT


Multiple R 0.979564

R Square 0.959546

Adjusted R 0.944135Standard E 2.601054

Observatio 30

ANOVA

df SS MS F gnificance

Regression 8 3369.925 421.2406 62.2632 6.82E-13

Residual 21 142.0751 6.765482

Total 29 3512


Intercept 107.0354 15.60971 6.856975 0.00 74.57321

Runs 0.154701 0.028367 5.45355 0.00 0.095708

Hits -0.03433 0.014947 -2.29646 0.03 -0.06541

Doubles 0.012858 0.025309 0.508033 0.62 -0.03977

eliminate Triples 0.018038 0.078264 0.230481 0.82 -0.14472

Home Run -0.04856 0.03642 -1.33344 0.20 -0.1243

Strike Out -0.0125 0.006129 -2.03866 0.05 -0.02524

Earned Ru -12.9907 1.513345 -8.58412 0.00 -16.1379

Walks -0.03178 0.017456 -1.82059 0.08 -0.06808

SUMMARY OUTPUT


Multiple R 0.979512

R Square 0.959443

Adjusted R 0.946539

Standard E 2.544464

Observatio 30

ANOVA


Regression 7 3369.565 481.3665 74.3504 7.73E-14

Residual 22 142.4345 6.474296

Total 29 3512


Intercept 106.2109 14.86373 7.145644 0.00 75.38542

Runs 0.157205 0.025634 6.132664 0.00 0.104043


87/136

Hits -0.03446 0.014611 -2.35856 0.03 -0.06476

eliminate Doubles 0.011918 0.024435 0.487759 0.63 -0.03876

Home Run -0.05202 0.032462 -1.60259 0.12 -0.11935

Strike Out -0.01191 0.00546 -2.18158 0.04 -0.02323

Earned Ru -12.9336 1.460425 -8.85606 0.00 -15.9623

Walks -0.03244 0.016848 -1.92517 0.07 -0.06738

SUMMARY OUTPUT


Multiple R 0.979288

R Square 0.959005

Adjusted R 0.948311

Standard E 2.501954

Observatio 30

ANOVA


Regression 6 3368.025 561.3375 89.67376 8.69E-15

Residual 23 143.9748 6.259775

Total 29 3512


Intercept 106.307 14.61412 7.274268 0.00 76.07541

Runs 0.157379 0.025203 6.244384 0.00 0.105242

Hits -0.03345 0.014222 -2.35211 0.03 -0.06287

ELIMINATE Home R un -0.04877 0.031239 -1.56122 0.13 -0.11339Strike Out -0.0118 0.005364 -2.19956 0.04 -0.02289

Earned Ru -12.8265 1.419699 -9.03466 0.00 -15.7634

Walks -0.03119 0.016375 -1.90469 0.07 -0.06506

SUMMARY OUTPUT BEST MODEL SO FAR


Multiple R 0.977067

R Square 0.95466Adjusted R 0.945215

Standard E 2.575788

Observatio 30

ANOVA


Regression 5 3352.768 670.5535 101.0679 2.57E-15

Residual 24 159.2324 6.634684


88/136

Total 29 3512


Intercept 102.9661 14.88321 6.92 0.00 72.24866

Runs 0.123794 0.013518 9.16 0.00 0.095893

Hits -0.02188 0.012498 (1.75) 0.09 -0.04768

Strike Out -0.01411 0.005308 (2.66) 0.01 -0.02506Earned Ru -13.5778 1.375068 (9.87) 0.00 -16.4158

Walks -0.0141 0.012539 (1.12) 0.27 -0.03998


89/136

ome Runs ns Batted ed Run Ave trike Outs Walks

1.00

0.76 1.00

0.09 (0.13) 1.00

0.20 0.05 0.19 1.00

0.31 0.67 (0.24) 0.36 1.00

oubles, Triples, Home Runs, Strike Outs

F

Upper 95%ower 95.0 pper 95.0%

140.3834 73.46671 140.3834

0.352737 -0.06022 0.352737

-0.00015 -0.06758 -0.000150.066985 -0.04174 0.066985

0.199236 -0.16983 0.199236

0.031446 -0.13048 0.031446

0.000593 -0.02565 0.000593

0.210215 -0.19297 0.210215

-9.65213 -16.4136 -9.65213

0.006327 -0.06935 0.006327


90/136

F


139.4975 74.57321 139.4975

0.213693 0.095708 0.213693

-0.00324 -0.06541 -0.00324

0.06549 -0.03977 0.06549

0.180798 -0.14472 0.180798

0.027176 -0.1243 0.027176

0.000251 -0.02524 0.000251

-9.84357 -16.1379 -9.84357

0.004522 -0.06808 0.004522

F


137.0364 75.38542 137.0364

0.210367 0.104043 0.210367


91/136


92/136


133.6835 72.24866 133.6835

0.151694 0.095893 0.151694

0.00391 -0.04768 0.00391

-0.00315 -0.02506 -0.00315-10.7398 -16.4158 -10.7398

0.011778 -0.03998 0.011778


93/136

Golfing Statistics

Earnings/Event Events vg. Scor GIR (%)* utts/Roun g Accura ving Distance

$239,493.68 22 70.37 67.9 31.82 60.2 288.4

$177,249.18 28 69.43 69.4 31.30 67.9 286.9

$218,619.18 22 70.23 67.1 31.81 71.0 276.0

$186,380.08 24 70.46 68.0 31.81 56.4 308.5$209,511.75 20 69.78 68.3 31.43 68.5 282.9

$181,987.29 21 70.34 65.1 31.72 52.7 299.1

$162,536.13 23 69.92 66.3 31.68 65.2 287.8

$174,534.95 21 70.25 65.3 31.52 62.4 277.0

$135,353.70 27 70.64 68.0 32.35 67.9 291.8

$212,540.82 17 69.93 68.7 31.55 61.3 294.2

$297,079.50 12 70.26 69.3 32.31 61.3 298.7

$168,904.45 20 69.96 66.0 31.79 64.8 291.4

$135,791.58 24 70.21 68.5 31.73 55.7 309.8

$133,695.52 23 70.53 68.2 31.86 64.8 289.1

$112,192.04 26 70.59 66.5 31.30 71.2 279.7

$215,121.67 12 70.22 66.5 32.29 60.1 292.4

$183,922.93 14 70.86 62.9 31.99 52.0 287.2 ELIMINATE

$150,251.76 17 70.94 66.2 32.31 62.6 300.0

$183,356.69 13 71.13 66.9 32.06 67.1 291.7

$130,274.35 17 71.53 62.5 32.47 62.7 286.8

$286,285.40 5 69.73 69.4 32.09 70.6 308.4

$72,708.05 19 70.79 61.9 31.50 56.7 292.1

$99,597.31 13 71.07 64.1 31.52 57.2 295.8

$85,557.56 9 71.10 64.1 31.95 69.3 290.4

$46,406.25 8 71.24 61.1 32.31 65.5 289.9


94/136


95/136

SUMMARY OUTPUT



Adjusted R 0.764559

Standard E 29533.22

Observatio 25

ANOVA


Regression 6 7.32E+10 1.22E+10 13.98937 6.5E-06

Residual 18 1.57E+10 8.72E+08

Total 24 8.89E+10


Intercept 1411171 1350235 1.05 0.31 -1425566 4247909 -1425566 4247909

Events -4751.82 1288.786 (3.69) 0.00 -7459.46 -2044.18 -7459.46 -2044.18

Avg. Score -44490.9 19562.25 (2.27) 0.04 -85589.7 -3392.14 -85589.7 -3392.14

GIR (%)* 22563.99 4727.342 4.77 0.00 12632.21 32495.77 12632.21 32495.77

Driving Dis -3466.13 999.3162 (3.47) 0.00 -5565.62 -1366.65 -5565.62 -1366.65

Driving Ac -5463.84 1453.582 (3.76) 0.00 -8517.7 -2409.97 -8517.7 -2409.97

Putts/Rou 57686.86 23583.6 2.45 0.02 8139.559 107234.2 8139.559 107234.2

SUMMARY OUTPUT


Multiple R 0.989462

R Square 0.979035

Adjusted R 0.920886

Standard E 29604.87

Observatio 25

ANOVAdf SS MS F gnificance F

Regression 6 7.78E+11 1.3E+11 147.8771 2.58E-14

Residual 19 1.67E+10 8.76E+08

Total 25 7.94E+11


Intercept 0 #N/A #N/A #N/A #N/A #N/A #N/A #N/A

Events -4682.82 1290.216 (3.63) 0.00 -7383.27 -1982.37 -7383.27 -1982.37


96/136

Avg. Score -26751.4 9748.93 (2.74) 0.01 -47156.1 -6346.64 -47156.1 -6346.64

GIR (%)* 25730.03 3637.981 7.07 0.00 18115.65 33344.42 18115.65 33344.42

Driving Dis -3545.2 998.8661 (3.55) 0.00 -5635.85 -1454.55 -5635.85 -1454.55

Driving Ac -5562.2 1454.051 (3.83) 0.00 -8605.57 -2518.84 -8605.57 -2518.84

Putts/Rou 57035.41 23632.55 2.41 0.03 7571.914 106498.9 7571.914 106498.9


97/136

SUMMARY OUTPUT


Multiple R 0.806059

R Square 0.649731

Adjusted R 0.579678


ANOVA


Regression 4 4.350403 1.087601 9.274756 0.000208

Residual 20 2.345293 0.117265

Total 24 6.695696


Intercept 62.23558 7.127755 8.73 0.00 47.36735 77.10382 47.36735 77.10382

GIR (%)* -0.15103 0.035749 (4.22) 0.00 -0.2256 -0.07646 -0.2256 -0.07646

Driving Dis 0.003663 0.010611 0.35 0.73 -0.01847 0.025798 -0.01847 0.025798

Driving Ac 0.004727 0.015905 0.30 0.77 -0.02845 0.037904 -0.02845 0.037904 ELIMINAT

Putts/Rou 0.52966 0.225978 2.34 0.03 0.058278 1.001042 0.058278 1.001042

SUMMARY OUTPUT


Multiple R 0.805099

R Square 0.648184


Observatio 25

ANOVA


Regression 3 4.340046 1.446682 12.89679 5.37E-05

Residual 21 2.35565 0.112174

Total 24 6.695696

Coefficientsandard Err t Stat P-value Lower 95%Upper 95%ower 95.0 pper 95.0%Intercept 62.10912 6.958887 8.93 0.00 47.63732 76.58092 47.63732 76.58092

GIR (%)* -0.14567 0.03019 (4.83) 0.00 -0.20845 -0.08289 -0.20845 -0.08289

Driving Di 0.001844 0.008476 0.22 0.83 -0.01578 0.01947 -0.01578 0.01947 ELIMINAT

Putts/Rou 0.548489 0.212154 2.59 0.02 0.10729 0.989688 0.10729 0.989688




98/136


99/136


100/136

Team Points/Ga Yards/Ga Rushing Passing Y Opponent Intercepti Fumbles Fumbles Penalties

Arizona C 25.2 344.1 90 254.1 330.2 18 11 12 137

Atlanta Fa 16.2 301 95 206 355.5 16 12 9 105

Baltimore 17.2 302 112.3 189.7 301.6 17 6 26 107

Buffalo Bi 15.8 277.1 112.5 164.6 362.9 18 12 7 78

Carolina 16.7 284.9 114 170.9 324.8 14 16 12 95Chicago 20.9 293.2 83.1 210.1 354.7 16 17 13 111

Cincinnati 23.8 348 97.3 250.8 348.8 19 16 10 90

Cleveland 25.1 351.3 118.4 232.9 359.6 17 10 9 114

Dallas Co 28.4 365.7 109.1 256.6 307.6 19 10 5 104

Denver Br 20 346.3 122.3 224 336 14 16 14 90

Detroit Li 21.6 322.9 80.5 242.4 377.6 17 18 14 100

Green Ba 27.2 370.7 99.8 270.9 313.3 19 9 9 113

Houston 23.7 333.6 99.1 234.4 344.2 11 14 17 82

Indianapo 28.1 358.7 106.6 252.1 279.7 22 15 5 67

Jacksonvi 25.7 357.4 149.4 208 313.8 20 10 13 76

Kansas Ci 14.1 276.8 78 198.8 319.4 14 8 13 101

Miami Dol 16.7 287.5 98.1 189.4 342.2 14 8 13 91

Minnesot 22.8 336.2 164.6 171.6 338.1 15 16 16 86

New Engl 36.8 411.2 115.6 295.7 288.3 19 12 6 78

New Orlea 23.7 361.2 91.6 269.6 348.1 13 10 12 68

New York 23.3 331.4 134.3 197.1 305 15 10 14 77

New York 16.8 294.7 106.3 188.4 331.9 15 6 6 63

Oakland 17.7 294.8 130.4 164.4 341.6 18 8 17 120

Philadelp 21 358.1 123.4 234.7 311.4 11 8 12 83

Pittsburg 24.6 327.4 135.5 191.9 266.4 11 14 8 80

San Diego 25.8 315.2 127.4 187.8 320.3 30 18 8 94San Franc 13.7 237.3 92.3 145 346.2 12 10 17 97

Seattle Se 24.6 348.9 101.2 247.8 321.8 20 14 11 59

St. Louis 16.4 297.5 95.4 202.1 341.1 18 9 9 94

Tampa Ba 20.9 326.8 117 209.8 278.4 16 19 12 81

Tennesse 18.8 311.7 131.8 179.9 291.6 22 12 17 101

Washingt 20.9 333.4 116.9 216.4 305.3 14 10 18 90


101/136


102/136


103/136


104/136


105/136

Passes In Opponent Penalty Y Opponent Passing Yards/Game

24 97.9 1,128 232.3 SUMMARY OUTPUT

15 127.1 891 228.4

14 79.3 873 222.3 Regression Statistics

14 124.6 633 238.4 Multiple R 0.933453

17 110.7 801 214.1 R Square 0.87133521 122.9 839 231.8 Adjusted R 0.790073

20 118.3 670 230.4 Standard E 2.28737

20 129.5 868 230.1 Observatio 32

19 94.6 815 213.1

15 142.6 610 193.4 ANOVA

22 119.4 676 258.2 df SS MS

15 102.9 1,006 210.4 Regression 12 673.2096 56.1008

21 114.1 636 230.1 Residual 19 99.40914 5.23206

14 106.9 515 172.8 Total 31 772.6188

8 100.3 594 213.5

20 130.6 697 188.9 Coefficientsandard Err t Stat

16 153.5 732 188.7 Intercept -11.6856 10.36049 (1.13)

14 74.1 662 264.1 Yards/Ga -0.6772 12.05297 (0.06)

9 98.3 690 190.1 Rushing Ya 0.77979 12.05501 0.06

18 102.9 581 245.3 Passing Ya 0.785619 12.05075 0.07

20 97.7 652 207.3 Opponent -6.97809 9.359379 (0.75)

19 134.8 486 197.1 Opponent 6.946941 9.363498 0.74

20 145.9 864 195.8 Opponent 6.961709 9.354122 0.74

15 95.8 649 215.6 Penalties -0.01763 0.092936 (0.19)

14 89.9 651 176.5 Penalty Ya 0.004297 0.010618 0.40

16 107 761 213.3 Interceptio 0.154864 0.126095 1.2317 118.5 702 227.7 Fumbles 0.19744 0.139563 1.41

13 102.8 428 219.1 Passes Int 0.033583 0.133963 0.25

28 115.3 794 225.8 Fumbles R -0.11795 0.136636 (0.86)

8 107.9 614 170.5

17 92.4 773 199.2 SUMMARY OUTPUT

11 91.3 751 214


Multiple R 0.933442

R Square 0.871313


Observatio 32

ANOVA

df SS MS

Regression 11 673.1931 61.19937

Residual 20 99.42565 4.971283

Total 31 772.6188


106/136

Coefficientsandard Err t Stat

Intercept -11.6944 10.09783 (1.16)

Rushing Ya 0.102476 0.028044 3.65

Passing Ya 0.108542 0.014165 7.66

Opponent -7.00017 9.115105 (0.77)

Opponent 6.968993 9.119146 0.76Opponent 6.983871 9.109917 0.77

Penalties -0.01692 0.089759 (0.19)

Penalty Ya 0.00419 0.010182 0.41

Interceptio 0.156901 0.117723 1.33

Fumbles 0.196953 0.135778 1.45

Passes Int 0.032656 0.129588 0.25

Fumbles R -0.11945 0.130597 (0.91)

SUMMARY OUTPUT


Multiple R 0.933319

R Square 0.871085

Adjusted R 0.809697

Standard E 2.177836

Observatio 32

ANOVA

df SS MS

Regression 10 673.0164 67.30164

Residual 21 99.60234 4.742969Total 31 772.6188


Intercept -11.1836 9.501465 (1.18)

Rushing Ya 0.101997 0.02728 3.74

Passing Ya 0.108381 0.013811 7.85

Opponent -6.57268 8.623438 (0.76)

Opponent 6.538718 8.623799 0.76

Opponent 6.556926 8.618935 0.76

Penalty Ya 0.002367 0.003113 0.76

Interceptio 0.154502 0.114315 1.35

Fumbles 0.186605 0.121303 1.54

Passes Int 0.02422 0.118792 0.20

Fumbles R -0.13238 0.108568 (1.22)

SUMMARY OUTPUT



107/136

Multiple R 0.933182

R Square 0.87083

Adjusted R 0.817987

Standard E 2.129869

Observatio 32

ANOVAdf SS MS

Regression 9 672.8192 74.75769

Residual 22 99.79951 4.536341

Total 31 772.6188


Intercept -10.9707 9.235929 (1.19)

Rushing Ya 0.100206 0.025257 3.97

Passing Ya 0.107935 0.013336 8.09

Opponent -6.29562 8.328143 (0.76)

Opponent 6.262616 8.32923 0.75

Opponent 6.281576 8.324986 0.75

Penalty Ya 0.002526 0.002948 0.86

Interceptio 0.154127 0.111782 1.38

Fumbles 0.182843 0.117251 1.56

Fumbles R -0.13598 0.104762 (1.30)

SUMMARY OUTPUT



Adjusted R 0.821427

Standard E 2.109647

Observatio 32

ANOVA

df SS MS

Regression 8 670.2547 83.78184

Residual 23 102.364 4.45061

Total 31 772.6188


Intercept -10.774 9.144569 (1.18)

Rushing Ya 0.101718 0.024938 4.08

Passing Ya 0.10806 0.013209 8.18

Opponent -0.03385 0.025672 (1.32)

Opponent 0.022187 0.028065 0.79

Penalty Ya 0.002087 0.002862 0.73


108/136

Interceptio 0.157417 0.110636 1.42

Fumbles 0.159102 0.111847 1.42

Fumbles R -0.14634 0.102867 (1.42)

SUMMARY OUTPUT

Regression StatisticsMultiple R 0.929757

R Square 0.864448

Adjusted R 0.824911

Standard E 2.088963

Observatio 32

ANOVA

df SS MS

Regression 7 667.8884 95.41262

Residual 24 104.7304 4.363766

Total 31 772.6188


Intercept -9.45306 8.875441 (1.07)

Rushing Ya 0.098314 0.024257 4.05

Passing Ya 0.107941 0.013078 8.25

Opponent -0.03481 0.025387 (1.37)

Opponent 0.025127 0.027502 0.91

Interceptio 0.178774 0.105643 1.69

Fumbles 0.139082 0.107362 1.30

Fumbles R -0.13393 0.100455 (1.33)

SUMMARY OUTPUT (AND SO ON!)


Multiple R 0.927218

R Square 0.859733

Adjusted R 0.826069

Standard E 2.082049

Observatio 32

ANOVA

df SS MS

Regression 6 664.2456 110.7076

Residual 25 108.3732 4.334926

Total 31 772.6188


Intercept -12.3304 8.270471 (1.49)


109/136

Rushing Ya 0.105602 0.022832 4.63

Passing Ya 0.112417 0.012086 9.30

Opponent -0.01677 0.015901 (1.05)

Interceptio 0.184951 0.105077 1.76

Fumbles 0.149202 0.106435 1.40

Fumbles R -0.10038 0.093192 (1.08)


110/136

F gnificance F

10.72251 4.6E-06

P-value Lower 95%Upper 95%ower 95.0 pper 95.0%

0.27 -33.3703 9.999151 -33.3703 9.999151

0.96 -25.9044 24.54995 -25.9044 24.54995

0.95 -24.4516 26.01122 -24.4516 26.01122

0.95 -24.4369 26.00814 -24.4369 26.00814

0.47 -26.5675 12.61131 -26.5675 12.61131

0.47 -12.6511 26.54497 -12.6511 26.54497

0.47 -12.6167 26.54011 -12.6167 26.54011

0.85 -0.21214 0.17689 -0.21214 0.17689

0.69 -0.01793 0.02652 -0.01793 0.02652

0.23 -0.10906 0.418784 -0.10906 0.4187840.17 -0.09467 0.489548 -0.09467 0.489548

0.80 -0.2468 0.31397 -0.2468 0.31397

0.40 -0.40393 0.168035 -0.40393 0.168035

F gnificance F

12.31058 1.26E-06


111/136


112/136


113/136


114/136

0.00 0.058578 0.152626 0.058578 0.152626

0.00 0.087526 0.137308 0.087526 0.137308

0.30 -0.04951 0.015983 -0.04951 0.015983

0.09 -0.03146 0.401362 -0.03146 0.401362

0.17 -0.07001 0.36841 -0.07001 0.36841

0.29 -0.29231 0.091558 -0.29231 0.091558

Ch9 Evans BA1e

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Transcript of Ch9 Evans BA1e