koefisien determinasi
DESCRIPTION
partial analysisTRANSCRIPT
1. X1 terhadap Y
Model Summary
Model R R Square
Adjusted R
Square
Std. Error of the
Estimate
1 .696a .484 .476 3.29607
a. Predictors: (Constant), X1
ANOVAb
Model Sum of Squares df Mean Square F Sig.
1 Regression 642.699 1 642.699 59.158 .000a
Residual 684.437 63 10.864
Total 1327.136 64
a. Predictors: (Constant), X1
b. Dependent Variable: Y
Coefficientsa
Model
Unstandardized Coefficients
Standardized
Coefficients
t Sig.B Std. Error Beta
1 (Constant) 10.982 2.530 4.341 .000
X1 .784 .102 .696 7.691 .000
a. Dependent Variable: Y
2. X2 terhadap Y
Model Summary
Model R R Square
Adjusted R
Square
Std. Error of the
Estimate
1 .698a .488 .480 3.28488
a. Predictors: (Constant), X2
ANOVAb
Model Sum of Squares df Mean Square F Sig.
1 Regression 647.339 1 647.339 59.992 .000a
Residual 679.797 63 10.790
Total 1327.136 64
a. Predictors: (Constant), X2
b. Dependent Variable: Y
Coefficientsa
Model
Unstandardized Coefficients
Standardized
Coefficients
t Sig.B Std. Error Beta
1 (Constant) 11.356 2.465 4.607 .000
X2 .874 .113 .698 7.745 .000
a. Dependent Variable: Y