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Regression<br />
Variables Entered/Removed b<br />
Model<br />
Variables<br />
Entered<br />
Variables<br />
Removed Method<br />
1 X5, X2, X1,<br />
X3, X4 a . Enter<br />
a. All requested variables entered.<br />
b. Dependent Variable: Y<br />
Model Summary b<br />
Model R R Square<br />
Adjusted<br />
R Square<br />
Std. Error of<br />
the Estimate<br />
Durbin-W<br />
atson<br />
1<br />
.818 a .668 .652 .99 1.860<br />
a. Predictors: (Constant), X5, X2, X1, X3, X4<br />
b. Dependent Variable: Y<br />
ANOVA b<br />
Model<br />
Sum of<br />
Squares df Mean Square F Sig.<br />
1 Regression 206.512 5 41.302 41.931 .000 a<br />
Residual 102.442 104 .985<br />
Total<br />
308.955 109<br />
a. Predictors: (Constant), X5, X2, X1, X3, X4<br />
b. Dependent Variable: Y<br />
Model<br />
1<br />
Coefficients a<br />
Standardi<br />
zed<br />
Coefficien<br />
ts<br />
Unstandardized<br />
Coefficients<br />
Collinearity Statistics<br />
B Std. Error Beta t Sig. Tolerance VIF<br />
(Constant) -1.961 .965 -2.032 .045<br />
X1<br />
.174 .049 .259 3.554 .001 .600 1.667<br />
X2<br />
.156 .070 .169 2.219 .029 .551 1.815<br />
X3<br />
.168 .075 .170 2.247 .027 .558 1.793<br />
X4<br />
.207 .054 .293 3.850 .000 .552 1.813<br />
X5<br />
.162 .073 .158 2.228 .028 .637 1.570<br />
a. Dependent Variable: Y
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