Lampiran Output SPSS UJI NORMALITAS

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Lampiran Output SPSS

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One-Sample Kolmogorov-Smirnov Test

Unstandardiz

ed Residual

Unstandardized

Residual

N 31 31

Normal Parametersa,,b Mean .0000000 .0000000

Std. Deviation 17.97442009 1.54183458

Most Extreme

Differences

Absolute .177 .095

Positive .177 .068

Negative -.116 -.095

Kolmogorov-Smirnov Z .985 .530

Asymp. Sig. (2-tailed) .286 .942

Monte Carlo Sig.

(2-tailed)

Sig. .258c .968c

95% Confidence

Interval

Lower Bound .104 .906

Upper Bound .412 1.000

a. Test distribution is Normal.

b. Calculated from data.

c. Based on 31 sampled tables with starting seed 926214481.

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Variables Entered/Removed

Model

Variables Entered

Variables

Removed Method

1 X8, X7, X6a . Enter

a. All requested variables entered.

Model Summaryb

Model R R Square

Adjusted R Square

Std. Error of the Estimate

1 .653a .426 .362 18.947

a. Predictors: (Constant), X8, X7, X6

b. Dependent Variable: Y1

ANOVAb

Model

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ANOVAb

Coefficientsa

Model

Unstandardized Coefficients

Standardize d Coefficients

t Sig.

Collinearity Statistics

B

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Model Summaryb

Model R R Square

Adjusted R Square

1 .463a .214 .057 1.68900

a. Predictors: (Constant), X5, X1, X2, X3, X4

ANOVAb

Model

Sum of

Squares df Mean Square F Sig.

1 Regression 19.421 5 3.884 1.362 .272a

Residual 71.318 25 2.853

Total 90.739 30

a. Predictors: (Constant), X5, X1, X2, X3, X4

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Coefficientsa

Model

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

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Uji Heterokedasitas

Coefficientsa

Model

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

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Coefficientsa

Model

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

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Hasil Hipotesis

Hipotesis Pertama

Variables Entered/Removedb

Model

Variables Entered

Variables

Removed Method

1 X1a . Enter

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Model Summary

Model R R Square

Adjusted R Square

1 .359a .129 .099 1.65064

a. Predictors: (Constant), X1

ANOVAb

Model

Sum of

1 Regression 11.725 1 11.725 4.303 .047a

Residual 79.014 29 2.725

Total 90.739 30

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Coefficientsa

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

Model

Variables Entered

Variables

Removed Method

1 X2a . Enter

Model Summary

Model R R Square

Adjusted R Square

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Model Summary

Model R R Square

Adjusted R Square

1 .101a .010 -.024 1.75975

ANOVAb

Model

Sum of

1 Regression .934 1 .934 .302 .587a

Residual 89.805 29 3.097

Total 90.739 30

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Coefficientsa

Model

1 (Constant) 32.959 .437 75.439 .000

X2 3.939 7.173 .101 .549 .587

Hipotesis Ketiga

Model

Variables Entered

Variables

Removed Method

1 X3a . Enter

Model Summary

Model R R Square

Adjusted R Square

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Model Summary

Model R R Square

Adjusted R Square

1 .380a .145 .115 1.63603

ANOVAb

Model

Coefficientsa

Model

1 (Constant) 32.512 .404 80.550 .000

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Coefficientsa

Model

1 (Constant) 32.512 .404 80.550 .000

X3 .976 .441 .380 2.214 .035

Hipotesis Keempat

Model

Variables Entered

Variables

Removed Method

1 X4a . Enter

Model Summary

Model R R Square

Adjusted R Square

1 .152a .023 -.011 1.74843

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ANOVAb

Model

Sum of

1 Regression 2.086 1 2.086 .682 .416a

Residual 88.653 29 3.057

Total 90.739 30

Coefficientsa

Model

1 (Constant) 32.854 .454 72.319 .000

X4 .791 .958 .152 .826 .416

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Hipotesis Kelima

Model

Variables Entered

Variables

Removed Method

1 X5a . Enter

Model Summary

Model R R Square

Adjusted R Square

1 .018a .000 -.034 1.76858

ANOVAb

Model

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Coefficientsa

Model

1 (Constant) 33.159 .470 70.523 .000

X5 -.063 .636 -.018 -.098 .922

Hipotesis Keenam

Model

Variables Entered

Variables

Removed Method

1 X6a . Enter

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Model Summary

Model R R Square

Adjusted R Square

1 .240a .058 .025 23.420

ANOVAb

Model

Sum of

1 Regression 973.577 1 973.577 1.775 .193a

Residual 15905.778 29 548.475

Total 16879.355 30

Coefficientsa

Model

1 (Constant) 25.977 4.924 5.276 .000

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Coefficientsa

Model

1 (Constant) 25.977 4.924 5.276 .000

X6 63.055 47.328 .240 1.332 .193

Hipotesis Ketujuh

Model

Variables Entered

Variables

Removed Method

1 X7a . Enter

Model Summary

Model R R Square

Adjusted R Square

1 .066a .004 -.030 24.072

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ANOVAb

odel

Sum of

1 Regression 74.397 1 74.397 .128 .723a

Residual 16804.958 29 579.481

Total 16879.355 30

Coefficientsa

Model

1 (Constant) 28.691 4.740 6.054 .000

X7 1.130 3.154 .066 .358 .723

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Hipotesis Kedelapan

Model

Variables Entered

Variables

Removed Method

1 X8a . Enter

Model Summary

Model R R Square

Adjusted R Square

1 .627a .393 .372 18.802

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ANOVAb

Model

Sum of

1 Regression 6627.209 1 6627.209 18.746 .000a

Residual 10252.146 29 353.522

Total 16879.355 30

Coefficientsa

Model

1 (Constant) 16.505 4.501 3.667 .001

X8 28.194 6.512 .627 4.330 .000

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Analisis Jalur

PersamaanStrukturPertama

Variables Entered/Removed

Model

Variables Entered

Variables

Removed Method

1 X8, X7, X6a . Enter

Model Summary

Model R R Square

Adjusted R Square

1 .653a .426 .362 18.947

ANOVAb

Model

Sum of

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Residual 9692.393 27 358.978

Total 16879.355 30

Coefficientsa

Model

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

PERSAMAAN STRUKTUR KEDUA Variables Entered/Removed

Model

Variables Entered

Variables

Removed Method

1 Y1, X7, X6, X8a

. Enter

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Model Summary

Model R R Square

Adjusted R Square

1 .556a .309 .203 1.55269

a. Predictors: (Constant), Y1, X7, X6, X8

ANOVAb

Model

Sum of

1 Regression 28.057 4 7.014 2.909 .041a

Residual 62.682 26 2.411

Total 90.739 30

a. Predictors: (Constant), Y1, X7, X6, X8

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Coefficientsa

Model

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