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Hasil Uji Normalitas
Dependent Variable: Y
Method: Least Squares
Date: 02/24/08 Time: 07:02
Sample: 1 210
Included observations: 210
Variable Coefficient Std. Error t-Statistic Prob.
C 37.22157 3.258671 11.42232 0.0000
X1 0.433339 0.062652 6.916654 0.0000
X2 0.260693 0.059829 4.357310 0.0000
R-squared 0.456594 Mean dependent var 79.80952
Adjusted R-squared 0.451344 S.D. dependent var 3.311847
S.E. of regression 2.453129 Akaike info criterion 4.646789
Sum squared resid 1245.693 Schwarz criterion 4.694604
Log likelihood -484.9128 F-statistic 86.96535
Durbin-Watson stat 1.860265 Prob(F-statistic) 0.000000
30
Series: Residuals
Sample 1 210
25
Observations 210
20 Mean 4.83e-15
Median 0.068116
Maximum 6.827085
15
Minimum -7.115738
Std. Dev. 2.441363
10 Skewness -0.116955
Kurtosis 3.262037
5
Jarque-Bera 1.079554
Probability 0.582878
0
-6 -4 -2 0 2 4 6
Hasil Uji Linearitas
Regression
Variables Entered/Removedb
Variables Variables
Model Entered Removed Method
1 x2sq, x1sqa . Enter
a. All requested variables entered.
b. Dependent Variable: Unstandardized Residual
Model Summary
Adjusted Std. Error of
Model R R Square R Square the Estimate
1 .008a .000 -.010 2.45304180
a. Predictors: (Constant), x2sq, x1sq
ANOVAb
Sum of
Model Squares df Mean Square F Sig.
1 Regression .089 2 .044 .007 .993a
Residual 1245.605 207 6.017
Total 1245.693 209
a. Predictors: (Constant), x2sq, x1sq
b. Dependent Variable: Unstandardized Residual
Coefficientsa
Unstandardized Standardized
Coefficients Coefficients
Model B Std. Error Beta t Sig.
1 (Constant) -.174 1.660 -.105 .917
x1sq 5.23E-005 .001 .009 .099 .921
x2sq -3.6E-006 .000 -.001 -.008 .994
a. Dependent Variable: Unstandardized Residual
Hasil Uji Regresi Berganda
Regression
Variables Entered/Removedb
Variables Variables
Model Entered Removed Method
1 a
x2, x1 . Enter
a. All requested variables entered.
b. Dependent Variable: y
Model Summary
Adjusted Std. Error of
Model R R Square R Square the Estimate
1 .676a .457 .451 2.45313
a. Predictors: (Constant), x2, x1
ANOVAb
Sum of
Model Squares df Mean Square F Sig.
1 Regression 1046.688 2 523.344 86.965 .000a
Residual 1245.693 207 6.018
Total 2292.381 209
a. Predictors: (Constant), x2, x1
b. Dependent Variable: y
Coefficientsa
Unstandardized Standardized
Coefficients Coefficients
Model B Std. Error Beta t Sig.
1 (Constant) 37.222 3.259 11.422 .000
x1 .433 .063 .456 6.917 .000
x2 .261 .060 .288 4.357 .000
a. Dependent Variable: y
Hasil Uji Mulitkollinearitas
Regression
Variables Entered/Removedb
Variables Variables
Model Entered Removed Method
1 a
x2, x1 . Enter
a. All requested variables entered.
b. Dependent Variable: y
Model Summary
Adjusted Std. Error of
Model R R Square R Square the Estimate
1 .676a .457 .451 2.45313
a. Predictors: (Constant), x2, x1
ANOVAb
Sum of
Model Squares df Mean Square F Sig.
1 Regression 1046.688 2 523.344 86.965 .000a
Residual 1245.693 207 6.018
Total 2292.381 209
a. Predictors: (Constant), x2, x1
b. Dependent Variable: y
Coefficientsa
Collinearity Statistics
Model Tolerance VIF
1 x1 .603 1.659
x2 .603 1.659
a. Dependent Variable: y
a
Collinearity Diagnostics
Condition Variance Proportions
Model Dimension Eigenvalue Index (Constant) x1 x2
1 1 2.997 1.000 .00 .00 .00
2 .002 40.781 1.00 .22 .15
3 .001 49.518 .00 .78 .85
a. Dependent Variable: y
Hasil Uji Heteroskedastisitas
Regression
Variables Entered/Removedb
Variables Variables
Model Entered Removed Method
1 a
x2, x1 . Enter
a. All requested variables entered.
b. Dependent Variable: Abs_Ut
Model Summary
Adjusted Std. Error of
Model R R Square R Square the Estimate
1 .108a .012 .002 1.53949
a. Predictors: (Constant), x2, x1
ANOVAb
Sum of
Model Squares df Mean Square F Sig.
1 Regression 5.824 2 2.912 1.229 .295a
Residual 490.594 207 2.370
Total 496.418 209
a. Predictors: (Constant), x2, x1
b. Dependent Variable: Abs_Ut
Coefficientsa
Unstandardized Standardized
Coefficients Coefficients
Model B Std. Error Beta t Sig.
1 (Constant) 5.090 2.045 2.489 .014
x1 -.024 .039 -.055 -.621 .535
x2 -.027 .038 -.065 -.726 .469
a. Dependent Variable: Abs_Ut
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