Spss 7
Question #1
Model Summaryb
Model R R Square Adjusted R Square Std. Error of the Estimate Dimension0 1 .351a .123 .169 3.9429207
a. Predictors: (Constant), x
b. Dependent Variable: y
ANOVAb
Model Sum of Squares df Mean Square F Sig.
1 Regression 6.560 1 6.560 .422 .562a
 Residual 46.640 3 15.547  
 Total 53.200 4   
a. Predictors: (Constant), x
b. Dependent Variable: y
Coefficientsa
Model Unstandardized Coefficients Standardized Coefficients t Sig.  B Std. Error Beta  
1 (Constant) 16.510 4.786  3.449 .041
 x .162 .250 .351 .650 .562
a. Dependent Variable: y

Residuals Statisticsa
 Minimum Maximum Mean Std. Deviation N
Predicted Value 17.808681 21.056271 19.400000 1.2806374 5 Std. Predicted Value 1.243 1.293 .000 1.000 5
Standard Error of Predicted Value 1.847 3.100 2.437 .592 5 Adjusted Predicted Value 16.122330 21.483051 18.978328 1.9333011 5 Residual 4.9196143 4.2427654 .0000000 3.4146695 5 Std. Residual 1.248 1.076 .000 .866 5
Stud. Residual 1.432 1.218 .038 1.013 5
Deleted Residual 6.4830508 5.4356332 .4216722 4.7404646 5 Stud. Deleted Residual 2.080 1.399 .068 1.291 5 Mahal. Distance .078 1.673 .800 .760 5
Cook's Distance .052 .326 .173 .103 5
Centered Leverage Value .019 .418 .200 .190 5
a. Dependent Variable: y
Question #2
Model Summaryb
Model R R Square Adjusted R Square Std. Error of the Estimate dimension0 1 .986a .972 .970 1.98650
a. Predictors: (Constant), X
b. Dependent Variable: Y
ANOVAb
Model Sum of Squares df Mean Square F Sig.
1 Regression 2443.466 1 2443.466 619.196 .000a  Residual...
Please join StudyMode to read the full document