Práctica 1 de Muestreo
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PRÁCTICA 1 REGRESSION /MISSING LISTWISE /STATISTICS COEFF OUTS R ANOVA /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT Calificaciòn /METHOD=ENTER Antiguedad /RESIDUALS NORMPROB(ZRESID) /SAVE RESID. [DataSet0] Variables Entered/Removed a Model Variables Entered Variables Removed Method 1 Antiguedad b . Enter a. Dependent Variable: Calificaciòn b. All requested variables entered. Model Summary b Model R R Square Adjusted R Square Std. Error of the Estimate 1 ,997 a ,994 ,992 ,34503 a. Predictors: (Constant), Antiguedad b. Dependent Variable: Calificaciòn ANOVA a Model Sum of Squares df Mean Square F Sig.
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Transcript of Práctica 1 de Muestreo
PRÁCTICA 1REGRESSION /MISSING LISTWISE /STATISTICS COEFF OUTS R ANOVA /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT Calificaciòn /METHOD=ENTER Antiguedad /RESIDUALS NORMPROB(ZRESID) /SAVE RESID.
[DataSet0]
Variables Entered/Removeda
Model Variables
Entered
Variables
Removed
Method
1 Antiguedadb . Enter
a. Dependent Variable: Calificaciòn
b. All requested variables entered.
Model Summaryb
Model R R Square Adjusted R
Square
Std. Error of the
Estimate
1 ,997a ,994 ,992 ,34503
a. Predictors: (Constant), Antiguedad
b. Dependent Variable: Calificaciòn
ANOVAa
Model Sum of Squares df Mean Square F Sig.
1
Regression 74,057 1 74,057 622,080 ,000b
Residual ,476 4 ,119
Total 74,533 5
a. Dependent Variable: Calificaciòn
b. Predictors: (Constant), Antiguedad
Coefficientsa
Model Unstandardized Coefficients Standardized
Coefficients
t Sig.
B Std. Error Beta
1(Constant) 2,767 ,321 8,613 ,001
Antiguedad 2,057 ,082 ,997 24,942 ,000
a. Dependent Variable: Calificaciòn
Residuals Statisticsa
Minimum Maximum Mean Std. Deviation N
Predicted Value 4,8238 15,1095 9,9667 3,84856 6
Residual -,53810 ,41905 ,00000 ,30861 6
Std. Predicted Value -1,336 1,336 ,000 1,000 6
Std. Residual -1,560 1,215 ,000 ,894 6
a. Dependent Variable: Calificaciòn
PRÀCTICA 2
GET DATA /TYPE=XLSX /FILE='C:\Users\betalab00\Documents\1417183613_466__ejercicio%252B2 (1).xlsx' /SHEET=name 'Hoja1' /CELLRANGE=full /READNAMES=on /ASSUMEDSTRWIDTH=32767.EXECUTE.DATASET NAME DataSet1 WINDOW=FRONT.REGRESSION /MISSING LISTWISE /STATISTICS COEFF OUTS R ANOVA /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT Y /METHOD=ENTER X /RESIDUALS NORMPROB(ZRESID) /SAVE ADJPRED.
Regression
[DataSet1]
Variables Entered/Removeda
Model Variables
Entered
Variables
Removed
Method
1 Xb . Enter
a. Dependent Variable: Y
b. All requested variables entered.
Model Summaryb
Model R R Square Adjusted R
Square
Std. Error of the
Estimate
1 ,996a ,991 ,990 ,2367859
a. Predictors: (Constant), X
b. Dependent Variable: Y
ANOVAa
Model Sum of Squares df Mean Square F Sig.
1
Regression 51,467 1 51,467 917,948 ,000b
Residual ,449 8 ,056
Total 51,916 9
a. Dependent Variable: Y
b. Predictors: (Constant), X
Coefficientsa
Model Unstandardized Coefficients Standardized
Coefficients
t Sig.
B Std. Error Beta
1(Constant) -,291 ,237 -1,229 ,254
X ,344 ,011 ,996 30,298 ,000
a. Dependent Variable: Y
Residuals Statisticsa
Minimum Maximum Mean Std. Deviation N
Predicted Value 3,146419 10,021074 6,515000 2,3913527 10
Std. Predicted Value -1,409 1,466 ,000 1,000 10
Standard Error of Predicted
Value,075 ,138 ,104 ,022 10
Adjusted Predicted Value 3,012676 9,852500 6,495552 2,3858463 10
Residual -,4161432 ,3289256 0E-7 ,2232439 10
Std. Residual -1,757 1,389 ,000 ,943 10
Stud. Residual -1,951 1,708 ,036 1,087 10
Deleted Residual -,5126470 ,4975000 ,0194475 ,2983398 10
Stud. Deleted Residual -2,520 2,005 ,020 1,275 10
Mahal. Distance ,001 2,150 ,900 ,768 10
Cook's Distance ,000 ,748 ,185 ,272 10
Centered Leverage Value ,000 ,239 ,100 ,085 10
a. Dependent Variable: Y
