MODEL REGRESI LINIER BERGANDA (Model 1)

(1)

MODEL REGRESI LINIER BERGANDA (Model 1)

Explore

Case Processing Summary

216 100.0% 0 .0% 216 100.0%

Unstandardized Residual

N Percent N Percent N Percent

Valid Missing Total

Cases

Descriptives

.0000000 34.49790 -67.9974

67.99740

-65.6449 -95.5785 257062.7 507.0135 -1008.68 2817.213 3825.897 202.8799

3.704 .166 17.049 .330 Mean

Lower Bound Upper Bound 95% Confidence

Interval for Mean

5% Trimmed Mean Median

Variance Std. Deviation Minimum Maximum Range

Interquartile Range Skewness

Kurtosis Unstandardized Residual

Statistic Std. Error

Extreme Values

102 2817.213 160 2744.135 116 2730.639 57 2712.378 169 2280.483 110 -1008.68 165 -903.539 216 -898.078 51 -632.061 174 -627.685 1

2 3 4 5 1 2 3 4 5 Highest

Lowest Unstandardized Residual

Case Number Value

Tests of Normality

.257 216 .000 .595 216 .000

Statistic df Sig. Statistic df Sig.

Kolmogorov-Smirnova Shapiro-Wilk

Lilliefors Significance Correction a.

(2)

MODEL REGRESI LINIER BERGANDA (Model 1)

Regression

Variables Entered/Removedb

DTA, ROI,

CRa . Enter

Model 1

Variables Entered

Variables

Removed Method

All requested variables entered. a.

Dependent Variable: DK b.

Model Summaryb

.522a .272 .232 2.28666 1.896

Model 1

R R Square

Adjusted R Square

Std. Error of the Estimate

Durbin-W atson

Predictors: (Constant), DTA, ROI, CR a.

ANOVAb

107.506 3 35.835 6.853 .001a

287.585 55 5.229

395.092 58

Regression Residual Total Model 1

Sum of

Squares df Mean Square F Sig.

Coefficientsa

3.035 1.098 2.765 .008

32.697 8.546 1.135 3.826 .000 .150 6.646

4.806E-02 .016 .952 3.056 .003 .136 7.334

-.163 1.775 -.013 -.092 .927 .667 1.500

(Constant) ROI CR DTA Model 1

B Std. Error Unstandardized

Coefficients

Beta Standardized

Coefficients

t Sig. Tolerance VIF

Collinearity Statistics

Dependent Variable: DK a.

Residuals Statisticsa

2.9657 9.3035 4.5989 1.36145 59

-3.5786 5.1906 .0000 2.22674 59

-1.200 3.456 .000 1.000 59

-1.565 2.270 .000 .974 59

Predicted Value Residual

Std. Predicted Value Std. Residual

Minimum Maximum Mean Std. Deviation N

(3)

MODEL REGRESI LINIER BERGANDA (Model 1)

Explore

59 27.3% 157 72.7% 216 100.0%

Valid Missing Total

Cases

Descriptives

.0000000 .28989683 -.5802915

.5802915

-.0745980 -.4082504 4.958 2.226740 -3.57859 5.19055 8.76914 3.4965845

.592 .311

-.430 .613 Mean

Interval for Mean

Extreme Values

23 5.19055 74 4.60297 131 4.60297 180 4.49206 87 4.22708 104 -3.57859 76 -3.39825 132 -3.39825 99 -2.80084 182 -2.71103 1

2 3 4 5 1 2 3 4 5 Highest

Case Number Value

.113 59 .059 .947 59 .013

(4)

MODEL REGRESI LINIER BERGANDA (Model 1)

GLEJSER

DTA, ROI,

CRa . Enter

Model 1

Variables Entered

Variables

Removed Method

Dependent Variable: ABS_RES b.

Model Summary

.335a .112 .064 1.19625

Model 1

R R Square

Adjusted R Square

ANOVAb

9.940 3 3.313 2.315 .086a

78.705 55 1.431

88.646 58

Sum of

Coefficientsa

2.675 .574 4.657 .000

-.591 4.471 -.043 -.132 .895

-7.79E-03 .008 -.326 -.947 .348

-1.770 .929 -.297 -1.906 .062

(Constant) ROI CR DTA Model 1

Coefficients

Beta Standardized

Coefficients

t Sig.

Dependent Variable: ABS_RES a.

(5)

MODERASI AKB PADA MODEL ROI

Explore

216 100.0% 0 .0% 216 100.0%

Valid Missing Total

Cases

Descriptives

.0000000 31.87404 -62.8256

62.82561

-58.2507 -101.694 219446.1 468.4508 -1021.99 2923.724 3945.712 136.9132

4.324 .166 23.386 .330 Mean

Interval for Mean

Extreme Values

102 2923.724 57 2825.896 116 2815.105 160 2700.421 209 1711.138 161 -1021.99 110 -821.341 165 -711.616 216 -699.785 51 -506.336 1

2 3 4 5 1 2 3 4 5 Highest

Case Number Value

.272 216 .000 .528 216 .000

(UJI NORMALITAS AWAL)

(6)

MODERASI AKB PADA MODEL ROI

Regression

ZROI_ZAK, Zscore(RO I),

Zscore(AK B)a

. Enter Model

1

Variables Entered

Variables

Removed Method

Model Summaryb

.998a _.996 _.996 _15.5001257 _1.859

Model 1

R R Square

Adjusted R Square

Durbin-W atson

Predictors: (Constant), ZROI_ZAK, Zscore(ROI), Zscore(AKB) a.

ANOVAb

6837049 3 2279016.287 9485.866 .000a

27869.452 116 240.254

6864918 119

Sum of

Coefficientsa

54.985 2.133 25.778 .000

25.811 1.738 .104 14.847 .000 .707 1.414

-241.230 2.597 -.918 -92.896 .000 .359 2.789

19.399 2.106 .096 9.210 .000 .321 3.112

(Constant) Zscore(ROI) Zscore(AKB) ZROI_ZAK Model

1

Coefficients

Beta Standardized

Coefficients

-5.145875 2636.359 40.983628 239.6960411 120 -35.6625 41.369808 .000000 15.3034988 120

-.192 10.828 .000 1.000 120

-2.301 2.669 .000 .987 120

(UJI HIPOTESIS 4a)

(7)

MODERASI AKB PADA MODEL ROI

Explore

120 55.6% 96 44.4% 216 100.0%

Valid Missing Total

Cases

Descriptives

.0000000 1.397012 -2.76622

2.7662231

-.1630418 -1.18857 234.197 15.30350 -35.66253 41.36981 77.03234 19.67616

.245 .221

.165 .438

Mean

Interval for Mean

Extreme Values

26 41.36981 93 34.99009 153 34.01171 129 33.32785 170 32.76984 45 -35.66253 207 -34.54591 179 -30.01043 142 -29.55954 147 -29.42585 1

2 3 4 5 1 2 3 4 5 Highest

Case Number Value

.077 120 .081 .986 120 .275

(UJI NORMALITAS AKHIR)

(8)

MODERASI AKB PADA MODEL ROI

GLEJSER

ZROI_ZAK, Zscore(RO I),

Zscore(AK B)a

. Enter Model

1

Variables Entered

Variables

Removed Method

Model Summary

.198a _.039 _.014 _9.74172

Model 1

R R Square

Adjusted R Square

Predictors: (Constant), ZROI_ZAK, Zscore(ROI), Zscore(AKB)

a.

ANOVAb

450.352 3 150.117 1.582 .198a

11008.530 116 94.901

11458.882 119 Regression

Residual Total Model 1

Sum of

Coefficientsa

13.225 1.341 9.865 .000

.858 1.093 .085 .786 .434

-.810 1.632 -.075 -.496 .620

-1.575 1.324 -.191 -1.190 .237

(Constant) Zscore(ROI) Zscore(AKB) ZROI_ZAK Model

1

Coefficients

Beta Standardized

Coefficients

t Sig.

(UJI HETEROKEDASTISITAS)

(9)

MODEL MODERASI AKB PADA MODEL CR

Regression

ZCR_ZAK B,

Zscore(AK B), Zscore(C R)a

. Enter Model

1

Variables Entered

Variables

Removed Method

Model Summaryb

.447a _.199 _.188 _492.0627917 _2.177

Model 1

R R Square

Adjusted R Square

Durbin-W atson

Predictors: (Constant), ZCR_ZAKB, Zscore(AKB), Zscore(CR) a.

ANOVAb

12787273 3 4262424.214 17.604 .000a

51330668 212 242125.791

64117940 215

Sum of

Predictors: (Constant), ZCR_ZAKB, Zscore(AKB), Zscore(CR) a.

Coefficientsa

369.405 86.665 4.262 .000

278.359 171.225 .510 1.626 .106 .038 26.034

-517.385 163.948 -.947 -3.156 .002 .042 23.868

-307.229 175.325 -.754 -1.752 .081 .020 48.982

(Constant) Zscore(CR) Zscore(AKB) ZCR_ZAKB Model

1

B Std. Error

Unstandardized Coefficients

Beta Standardized

Coefficients

-59.0029 2437.769 229.3293 243.8763759 216 -787.914 3179.680 .000000 488.6177357 216

-1.182 9.056 .000 1.000 216

-1.601 6.462 .000 .993 216

(UJI INTERAKSI)

(10)

MODEL MODERASI AKB PADA MODEL CR

Explore

216 100.0% 0 .0% 216 100.0%

Valid Missing Total

Cases

Descriptives

.0000000 .23954798 -.4721632

.4721632

-.2017541 -.0528243 12.395 3.520622 -9.80281 31.72321 41.52602 .5728794

6.406 .166 57.549 .330 Mean

Interval for Mean

Extreme Values

169 31.72321 161 30.56647 212 12.76895 123 6.54234 111 5.16599 102 -9.80281 116 -9.78286 57 -9.05249 160 -8.50404 106 -3.97419 1

2 3 4 5 1 2 3 4 5 Highest

Case Number Value

.402 216 .000 .334 216 .000

(UJI NORMALITAS AWAL)

(11)

MODEL MODERASI AKB PADA MODEL CR

Regression

DKa . Enter

Model 1

Variables Entered

Variables

Removed Method

Dependent Variable: ABS_E b.

Model Summaryb

.087a _.008 _.002 _.15996 _2.076

Model 1

R R Square

Adjusted R Square

Durbin-W atson

Predictors: (Constant), DK a.

ANOVAb

.037 1 .037 1.435 .232a

4.811 188 .026

4.847 189

Sum of

Coefficientsa

.731 .012 58.703 .000

-3.16E-05 .000 -.087 -1.198 .232

(Constant) DK Model 1

Coefficients

Beta Standardized

Coefficients

t Sig.

Dependent Variable: ABS_E a.

.6242 .7311 .7258 .01394 190

-.4690 .4083 .0000 .15954 190

-7.283 .386 .000 1.000 190

-2.932 2.553 .000 .997 190

Dependent Variable: ABS_E a.

(12)

MODEL MODERASI AKB PADA MODEL CR

Explore

190 88.0% 26 12.0% 216 100.0%

Valid Missing Total

Cases

Descriptives

.0000000 .01157430 -.0228314

.0228314

.0041240 .0136033 .025 .15954069 -.46898 .40834 .87732 .1959719

-.413 .176

.287 .351

Mean

Interval for Mean

Extreme Values

174 .40834 140 .36119 122 .33528 110 .29435 132 .28122 64 -.46898 112 -.42707 179 -.39056 189 -.38652 147 -.37991 1

2 3 4 5 1 2 3 4 5 Highest

Case Number Value

.063 190 .066 .985 190 .046

(UJI NORMALITAS AKHIR)

(13)

MODEL MODERASI AKB PADA MODEL CR

GLEJSER

DKa . Enter

Model 1

Variables Entered

Variables

Removed Method

Model Summary

.009a .000 -.005 .10065

Model 1

R R Square

Adjusted R Square

ANOVAb

.000 1 .000 .017 .897a

1.905 188 .010

1.905 189

Sum of

Coefficientsa

.124 .008 15.827 .000

-2.16E-06 .000 -.009 -.130 .897

(Constant) DK Model 1

Coefficients

Beta Standardized

Coefficients

t Sig.

(14)

MODERASI AKB PADA MODEL DTA

Explore

216 100.0% 0 .0% 216 100.0%

Valid Missing Total

Cases

Descriptives

.0000000 .23916684 -.4714120

.4714120

-.1992104 -.0869120 12.355 3.515020 -9.74666 31.91239 41.65905 .5648959

6.416 .166 57.820 .330 Mean

Interval for Mean

Extreme Values

169 31.91239 161 30.33303 212 12.52713 123 6.63471 111 5.15978 116 -9.74666 102 -9.72867 57 -9.14118 160 -8.65159 106 -3.80056 1

2 3 4 5 1 2 3 4 5 Highest

Case Number Value

.388 216 .000 .337 216 .000

(UJI NORMALITAS AWAL)

(15)

MODERASI AKB PADA MODEL DTA

Explore

113 52.3% 103 47.7% 216 100.0%

Valid Missing Total

Cases

Descriptives

.0000000 1.313339 -2.60221

2.6022130

-.1147462 -1.72192 194.909 13.96099 -37.91210 32.14839 70.06049 17.07388

.264 .227

-.198 .451 Mean

Interval for Mean

Extreme Values

129 32.14839 126 32.09780 137 27.40465 195 26.90093 150 26.37506 139 -37.91210 207 -26.48574 179 -25.91693 64 -24.45158 103 -21.51275 1

2 3 4 5 1 2 3 4 5 Highest

Case Number Value

.081 113 .065 .980 113 .088

(UJI NORMALITAS AKHIR)

(16)

MODERASI AKB PADA MODEL DTA

Regression

ZDTA_ZA K,

Zscore(DT A), Zscore(AK B)a

. Enter Model

1

Variables Entered

Variables

Removed Method

Model Summaryb

.994a .989 .988 14.1518051 2.027 Model

1

R R Square

Adjusted R Square

Durbin-W atson

Predictors: (Constant), ZDTA_ZAK, Zscore(DTA), Zscore(AKB) a.

ANOVAb

1906905 3 635635.094 3173.834 .000a

21829.821 109 200.274

1928735 112

Sum of

Coefficientsa

45.398 2.230 20.356 .000

.607 1.269 .005 .478 .633 .867 1.154

-160.143 2.213 -1.018 -72.364 .000 .524 1.907

-4.988 1.921 -.037 -2.596 .011 .516 1.940

(Constant) Zscore(DTA) Zscore(AKB) ZDTA_ZAK Model

1

B Std. Error

Unstandardized Coefficients

Beta Standardized

Coefficients

-4.451700 1393.553 28.557835 130.4834856 113 -37.9121 32.148392 .000000 13.9609855 113

-.253 10.461 .000 1.000 113

-2.679 2.272 .000 .987 113

(UJI HIPOTESIS 4d)

(17)

MODERASI AKB PADA MODEL DTA

GLEJSER

ZDTA_ZA K,

Zscore(DT A), Zscore(AK B)a

. Enter Model

1

Variables Entered

Variables

Removed Method

Model Summary

.221a .049 .023 8.08823

Model 1

R R Square

Adjusted R Square

Predictors: (Constant), ZDTA_ZAK, Zscore(DTA), Zscore(AKB)

a.

ANOVAb

366.002 3 122.001 1.865 .140a

7130.719 109 65.419

7496.721 112 Regression

Residual Total Model 1

Sum of

Coefficientsa

13.281 1.275 10.419 .000

-.459 .725 -.064 -.634 .528

-1.301 1.265 -.133 -1.028 .306

-2.099 1.098 -.249 -1.911 .059

(Constant) Zscore(DTA) Zscore(AKB) ZDTA_ZAK Model

1

Coefficients

Beta Standardized

Coefficients

t Sig.