Lampiran Output SPSS UJI NORMALITAS
Lampiran Output SPSS UJI NORMALITAS
One-Sample Kolmogorov-Smirnov Test
Unstandardiz Unstandardized ed Residual Residual N
31
31
a,,b
Normal Parameters Mean .0000000 .0000000 Std. Deviation 17.97442009 1.54183458
Most Extreme Absolute .177 .095 Differences
Positive .177 .068 Negative -.116 -.095
Kolmogorov-Smirnov Z .985 .530 Asymp. Sig. (2-tailed)
.286 .942
c c
Monte Carlo Sig. (2- Sig. .258 .968 tailed) 95% Confidence Lower Bound .104 .906 Interval
Upper Bound .412 1.000 a. Test distribution is Normal.
b. Calculated from data.
c. Based on 31 sampled tables with starting seed 926214481.
Uji Multi Kolinearitas
Variables Entered/Removed
Variables Variables Model Entered Removed Method
a
1 X8, X7, X6 . Enter a. All requested variables entered.
b Model Summary
Adjusted R Std. Error of Model R R Square Square the Estimate
a
1 .653 .426 .362 18.947
a. Predictors: (Constant), X8, X7, X6
b. Dependent Variable: Y1
b ANOVA
Sum of df Model Squares Mean Square F Sig.
a
3
1 Regression 7186.962 2395.654 6.674 .002
27 Residual 9692.393 358.978
30 Total 16879.355
a. Predictors: (Constant), X8, X7, X6
b ANOVA
Sum of df Model Squares Mean Square F Sig.
a
3
1 Regression 7186.962 2395.654 6.674 .002
27 Residual 9692.393 358.978
30 Total 16879.355
a. Predictors: (Constant), X8, X7, X6
b. Dependent Variable: Y1
a
Coefficients
Standardize Unstandardized d Collinearity
Coefficients Coefficients Statistics Std. Model B Error Beta t Sig. Tolerance VIF 1 (Constant) 13.907 5.073 2.741 .011
X6 46.222 38.502 .176 1.200 .240 .989 1.011 X7 .815 2.484 .048 .328 .745 .999 1.001 X8 27.311 6.600 .607 4.138 .000 .989 1.012
a. Dependent Variable: Y1
b Model Summary
Adjusted R Std. Error of Model R R Square Square the Estimate
a
1 .463 .214 .057 1.68900
a. Predictors: (Constant), X5, X1, X2, X3, X4
b. Dependent Variable: Y2
b ANOVA
Sum of Model Squares df Mean Square F Sig.
a
1 Regression 19.421 5 3.884 1.362 .272 Residual 71.318 25 2.853 Total 90.739
30
a. Predictors: (Constant), X5, X1, X2, X3, X4
b. Dependent Variable: Y2
Coefficients
aModel Unstandardized
Coefficients Standardized
Coefficients t Sig.
Collinearity Statistics
B Std. Error Beta Toleranc e
VIF 1 (Constant) 32.409 .561 57.754 .000 X1 1.136 .830 .276 1.370 .183 .772 1.296 X2 3.139 8.201 .081 .383 .705 .705 1.419 X3 .742 .552 .289 1.344 .191 .680 1.471 X4 -.181 1.175 -.035 -.154 .879 .619 1.614 X5 -.336 .669 -.098 -.503 .620 .825 1.212
a. Dependent Variable: Y2
Uji Heterokedasitas Coefficients a
Model Unstandardized
Coefficients Standardized
Coefficients t Sig. B Std. Error Beta 1 (Constant) 10.807 2.720 3.974 .000
X6 17.083 20.643 .143 .828 .415 X7 -1.560 1.332 -.202 -1.172 .251 X8 7.412 3.539 .363 2.095 .046
a. Dependent Variable: ABRES_Y1
Charts
Coefficients
aModel Unstandardized
Coefficients Standardized
Coefficients t Sig. B Std. Error Beta 1 (Constant) 1.443 .269 5.368 .000
X1 .134 .398 .066 .337 .739 X2 4.847 3.929 .253 1.234 .229 X3 -.660 .265 -.521 -2.494 .020 X4 -.329 .563 -.128 -.584 .565 X5 .178 .321 .105 .555 .584
a. Dependent Variable: ABRES_Y2
Charts
Hasil Hipotesis Hipotesis Pertama b Variables Entered/Removed
Variables Variables Model Entered Removed Method
a
1 X1 . Enter a. All requested variables entered.
b. Dependent Variable: Y2
Model Summary
Adjusted R Std. Error of Model R R Square Square the Estimate
a
1 .359 .129 .099 1.65064
a. Predictors: (Constant), X1
b ANOVA
Sum of Model Squares df Mean Square F Sig.
a
1 Regression 11.725 1 11.725 4.303 .047 Residual 79.014 29 2.725 Total 90.739
30
a. Predictors: (Constant), X1
b. Dependent Variable: Y2
a
Coefficients
Unstandardized Standardized Coefficients Coefficients Model B Std. Error Beta t Sig.
1 (Constant) 32.653 .374 87.368 .000 X1 1.478 .712 .359 2.074 .047
a. Dependent Variable: Y2
Hipotesis Kedua b Variables Entered/Removed
Variables Variables Model Entered Removed Method
a
1 X2 . Enter a. All requested variables entered.
b. Dependent Variable: Y2
Model Summary
Adjusted R Std. Error of Model R R Square Square the Estimate
a
1 .101 .010 -.024 1.75975
Model Summary
Adjusted R Std. Error of Model R R Square Square the Estimate
a
1 .101 .010 -.024 1.75975
a. Predictors: (Constant), X2
b ANOVA
Sum of Model Squares df Mean Square F Sig.
a
1 Regression .934 1 .934 .302 .587 Residual 89.805 29 3.097 Total 90.739
30
a. Predictors: (Constant), X2
b. Dependent Variable: Y2
a
Coefficients
Unstandardized Standardized Coefficients Coefficients Model B Std. Error Beta t Sig.
1 (Constant) 32.959 .437 75.439 .000 X2 3.939 7.173 .101 .549 .587
a. Dependent Variable: Y2
Hipotesis Ketiga b Variables Entered/Removed
Variables Variables Model Entered Removed Method
a
1 X3 . Enter a. All requested variables entered.
b. Dependent Variable: Y2
Model Summary
Adjusted R Std. Error of Model R R Square Square the Estimate
a
1 .380 .145 .115 1.63603
Model Summary
Adjusted R Std. Error of Model R R Square Square the Estimate
a
1 .380 .145 .115 1.63603
a. Predictors: (Constant), X3
b ANOVA
Sum of Model Squares df Mean Square F Sig.
a
1 Regression 13.118 1 13.118 4.901 .035 Residual 77.621 29 2.677 Total 90.739
30
a. Predictors: (Constant), X3
b. Dependent Variable: Y2
a Coefficients
Unstandardized Standardized Coefficients Coefficients Model B Std. Error Beta t Sig.
1 (Constant) 32.512 .404 80.550 .000 X3 .976 .441 .380 2.214 .035
a
Coefficients
Unstandardized Standardized Coefficients Coefficients Model B Std. Error Beta t Sig.
1 (Constant) 32.512 .404 80.550 .000 X3 .976 .441 .380 2.214 .035
a. Dependent Variable: Y2
Hipotesis Keempat b Variables Entered/Removed
Variables Variables Model Entered Removed Method
a
1 X4 . Enter a. All requested variables entered.
b. Dependent Variable: Y2
Model Summary
Adjusted R Std. Error of Model R R Square Square the Estimate
a
1 .152 .023 -.011 1.74843
a. Predictors: (Constant), X4
b ANOVA
Sum of Model Squares df Mean Square F Sig.
a
1 Regression 2.086 1 2.086 .682 .416 Residual 88.653 29 3.057 Total 90.739
30
a. Predictors: (Constant), X4
b. Dependent Variable: Y2
a Coefficients
Unstandardized Standardized Coefficients Coefficients Model B Std. Error Beta t Sig.
1 (Constant) 32.854 .454 72.319 .000 X4 .791 .958 .152 .826 .416
a. Dependent Variable: Y2
Hipotesis Kelima b Variables Entered/Removed
Variables Variables Model Entered Removed Method
a
1 X5 . Enter a. All requested variables entered.
b. Dependent Variable: Y2
Model Summary
Adjusted R Std. Error of Model R R Square Square the Estimate
a
1 .018 .000 -.034 1.76858
a. Predictors: (Constant), X5
b ANOVA
Sum of Model Squares df Mean Square F Sig.
a
1 Regression .030 1 .030 .010 .922 Residual 90.709 29 3.128 Total 90.739
30
a. Predictors: (Constant), X5
b. Dependent Variable: Y2
a
Coefficients
Unstandardized Standardized Coefficients Coefficients Model B Std. Error Beta t Sig.
1 (Constant) 33.159 .470 70.523 .000 X5 -.063 .636 -.018 -.098 .922
a. Dependent Variable: Y2
Hipotesis Keenam b Variables Entered/Removed
Variables Variables Model Entered Removed Method
a
1 X6 . Enter a. All requested variables entered.
b. Dependent Variable: Y1
Model Summary
Adjusted R Std. Error of Model R R Square Square the Estimate
a
1 .240 .058 .025 23.420
a. Predictors: (Constant), X6
b ANOVA
Sum of Model Squares df Mean Square F Sig.
a
1 Regression 973.577 1 973.577 1.775 .193 Residual 15905.778 29 548.475 Total 16879.355
30
a. Predictors: (Constant), X6
b. Dependent Variable: Y1
a Coefficients
Unstandardized Standardized Coefficients Coefficients Model B Std. Error Beta t Sig.
1 (Constant) 25.977 4.924 5.276 .000 X6 63.055 47.328 .240 1.332 .193
a
Coefficients
Unstandardized Standardized Coefficients Coefficients Model B Std. Error Beta t Sig.
1 (Constant) 25.977 4.924 5.276 .000 X6 63.055 47.328 .240 1.332 .193
a. Dependent Variable: Y1
Hipotesis Ketujuh b Variables Entered/Removed
Variables Variables Model Entered Removed Method
a
1 X7 . Enter a. All requested variables entered.
b. Dependent Variable: Y1
Model Summary
Adjusted R Std. Error of Model R R Square Square the Estimate
a
1 .066 .004 -.030 24.072
a. Predictors: (Constant), X7
b ANOVA
Sum of odel Squares df Mean Square F Sig.
a
1 Regression 74.397 1 74.397 .128 .723 Residual 16804.958 29 579.481 Total 16879.355
30
a. Predictors: (Constant), X7
b. Dependent Variable: Y1
a Coefficients
Unstandardized Standardized Coefficients Coefficients Model B Std. Error Beta t Sig.
1 (Constant) 28.691 4.740 6.054 .000 X7 1.130 3.154 .066 .358 .723
a. Dependent Variable: Y1
Hipotesis Kedelapan b Variables Entered/Removed
Variables Variables Model Entered Removed Method
a
1 X8 . Enter a. All requested variables entered.
b. Dependent Variable: Y1
Model Summary
Adjusted R Std. Error of Model R R Square Square the Estimate
a
1 .627 .393 .372 18.802
a. Predictors: (Constant), X8
b ANOVA
Sum of Model Squares df Mean Square F Sig.
a
1 Regression 6627.209 1 6627.209 18.746 .000 Residual 10252.146 29 353.522 Total 16879.355
30
a. Predictors: (Constant), X8
b. Dependent Variable: Y1
a Coefficients
Unstandardized Standardized Coefficients Coefficients Model B Std. Error Beta t Sig.
1 (Constant) 16.505 4.501 3.667 .001 X8 28.194 6.512 .627 4.330 .000
a. Dependent Variable: Y1
Analisis Jalur PersamaanStrukturPertama Variables Entered/Removed
Variables Variables Model Entered Removed Method
a
1 X8, X7, X6 . Enter a. All requested variables entered.
Model Summary
Adjusted R Std. Error of Model R R Square Square the Estimate
a
1 .653 .426 .362 18.947
a. Predictors: (Constant), X8, X7, X6
b ANOVA
Sum of Model Squares df Mean Square F Sig.
a
1 Regression 7186.962 3 2395.654 6.674 .002
Residual 9692.393 27 358.978 Total 16879.355
a. Dependent Variable: Y1
a
X8
1 Y1, X7, X6,
Entered Variables Removed Method
Model Variables
PERSAMAAN STRUKTUR KEDUA Variables Entered/Removed
1 (Constant) 13.907 5.073 2.741 .011 X6 46.222 38.502 .176 1.200 .240 X7 .815 2.484 .048 .328 .745 X8 27.311 6.600 .607 4.138 .000
30
Coefficients B Std. Error Beta t Sig.
Coefficients Standardized
Model Unstandardized
Coefficients
ab. Dependent Variable: Y1
a. Predictors: (Constant), X8, X7, X6
. Enter a. All requested variables entered.
Model Summary
Adjusted R Std. Error of Model R R Square Square the Estimate
a
1 .556 .309 .203 1.55269
a. Predictors: (Constant), Y1, X7, X6, X8
b ANOVA
Sum of Model Squares df Mean Square F Sig.
a
1 Regression 28.057 4 7.014 2.909 .041 Residual 62.682 26 2.411 Total 90.739
30
a. Predictors: (Constant), Y1, X7, X6, X8
b. Dependent Variable: Y2
Coefficients a
Model Unstandardized
Coefficients Standardized
Coefficients B Std. Error Beta t Sig.
1 (Constant) 31.881 .470 67.827 .000 X6 1.790 3.238 .093 .553 .585 X7 .076 .204 .061 .375 .711 X8 -.225 .691 -.068 -.325 .748 Y1 .041 .016 .558 2.595 .015
a. Dependent Variable: Y2