Regression

 
Model Summary
Model R R Square Adjusted R Square Std. Error of the Estimate
1 .618(a) .381 .348 7.0979
a Predictors: (Constant), SAT, GRADEHS

 
ANOVA(b)
Model Sum of Squares df Mean Square F Sig.
1 Regression 1149.046 2 574.523 11.404 .000(a)
Residual 1864.054 37 50.380
Total 3013.100 39
a Predictors: (Constant), SAT, GRADEHS
b Dependent Variable: GRADEUN

 
Coefficients(a)
Unstandardized Coefficients Standardized Coefficients t Sig.
Model B Std. Error Beta  
 
1 (Constant) -1.960 16.542 -.119 .906
GRADEHS .763 .192 .568 3.978 .000
SAT 1.676E-02 .024 .101 .706 .485
a Dependent Variable: GRADEUN