MODEL REGRESI LINIER BERGANDA (Model 1)

MODEL REGRESI LINIER BERGANDA (Model 1) (UJI NORMALITAS AWAL) Explore

  

Case Processing Summary

  Cases Valid Missing Total

  N Percent N Percent N Percent Unstandardized Residual 216 100.0% .0% 216 100.0%

  Descriptives

  Statistic Std. Error Unstandardized Residual Mean

  .0000000 34.49790 95% Confidence Lower Bound

• 67.9974 Interval for Mean Upper Bound 67.99740

  5% Trimmed Mean

• 65.6449 Median -95.5785

  Variance 257062.7

  Std. Deviation 507.0135 Minimum

• 1008.68 Maximum 2817.213

  Range 3825.897 Interquartile Range

  202.8799 Skewness

  3.704 .166 Kurtosis 17.049 .330

  Extreme Values

  Case Number Value Unstandardized Residual Highest

  1 102 2817.213 2 160 2744.135

  3 116 2730.639 4 57 2712.378 5 169 2280.483

  Lowest

  1 110 -1008.68 2 165 -903.539 3 216 -898.078

  4 51 -632.061 5 174 -627.685

  

Tests of Normality

a

  Kolmogorov-Smirnov Shapiro-Wilk Statistic df Sig. Statistic df Sig. Unstandardized Residual .257 216 .000 .595 216 .000 a.

  Lilliefors Significance Correction

MODEL REGRESI LINIER BERGANDA (Model 1) (UJI HIPOTESIS 1,2 dan 3 Regression b Variables Entered/Removed

  Variables Variables Model Entered Removed Method

  1 DTA, ROI,

  a

  . Enter CR a.

  All requested variables entered.

  b.

  Dependent Variable: DK

  b Model Summary

  Adjusted Std. Error of Durbin-W Model R R Square R Square the Estimate atson

  a

  1 .522 .272 .232 2.28666 1.896 a.

  Predictors: (Constant), DTA, ROI, CR b. Dependent Variable: DK

  b ANOVA

  Sum of Model Squares df Mean Square F Sig.

  a

  1 Regression 107.506 3 35.835 6.853 .001

  Residual 287.585 55 5.229 Total

  395.092

  58 a. Predictors: (Constant), DTA, ROI, CR b. Dependent Variable: DK

  a

Coefficients

  Unstandardized Standardized Coefficients Coefficients Collinearity Statistics Model B Std. Error Beta t Sig. Tolerance

  VIF 1 (Constant) 3.035 1.098 2.765 .008 ROI 32.697 8.546 1.135 3.826 .000 .150 6.646 CR 4.806E-02 .016 .952 3.056 .003 .136 7.334 DTA

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

  Dependent Variable: DK a Residuals Statistics

  Minimum Maximum Mean Std. Deviation N Predicted Value 2.9657 9.3035 4.5989 1.36145

  59 Residual -3.5786 5.1906 .0000 2.22674

  59 Std. Predicted Value

• 1.200 3.456 .000 1.000

  59 Std. Residual

• 1.565 2.270 .000 .974

  59 a.

MODEL REGRESI LINIER BERGANDA (Model 1) (UJI NORMALITAS AKHIR) Explore

  

Case Processing Summary

  Cases Valid Missing Total

  N Percent N Percent N Percent Unstandardized Residual 59 27.3% 157 72.7% 216 100.0%

  Descriptives

  Statistic Std. Error Unstandardized Residual Mean

  .0000000 .28989683 95% Confidence Lower Bound -.5802915 Interval for Mean

  Upper Bound .5802915

  5% Trimmed Mean

• .0745980 Median -.4082504 Variance 4.958 Std. Deviation

  2.226740 Minimum

• 3.57859 Maximum 5.19055 Range

  8.76914 Interquartile Range

  3.4965845 Skewness .592 .311 Kurtosis

• .430 .613

  Extreme Values

  Case Number Value Unstandardized Residual Highest

  1 23 5.19055

  2 74 4.60297 3 131 4.60297 4 180 4.49206

  5 87 4.22708 Lowest

  1 104 -3.57859 2 76 -3.39825

  3 132 -3.39825 4 99 -2.80084 5 182 -2.71103

  

Tests of Normality

a

  Kolmogorov-Smirnov Shapiro-Wilk Statistic df Sig. Statistic df Sig. Unstandardized Residual .113 59 .059 .947 59 .013 a.

  Lilliefors Significance Correction

MODEL REGRESI LINIER BERGANDA (Model 1) GLEJSER Variables Entered/Removed b

  a

  (UJI HETEROKEDASTISITAS)

  Dependent Variable: ABS_RES a.

  Standardized Coefficients t Sig.

  Coefficients Beta

  1 B Std. Error Unstandardized

  Model

  2.675 .574 4.657 .000

  Coefficients

a

  Predictors: (Constant), DTA, ROI, CR a. Dependent Variable: ABS_RES b.

  1 Sum of Squares df Mean Square F Sig.

  Model

  58 Regression Residual Total

  78.705 55 1.431 88.646

  9.940 3 3.313 2.315 .086

  DTA, ROI, CR

  ANOVA b

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

  R Square Std. Error of the Estimate

  1 R R Square Adjusted

  .112 .064 1.19625 Model

  a

  .335

  Model Summary

  Dependent Variable: ABS_RES b.

  a.

  Variables Removed Method All requested variables entered.

  1 Variables Entered

  . Enter Model

  a

• .591 4.471 -.043 -.132 .895
• 7.79E-03 .008 -.326 -.947
• 1.770 .929 -.297 -1.906 .062 (Constant) ROI CR DTA

MODERASI AKB PADA MODEL ROI (UJI NORMALITAS AWAL) Explore

  

Case Processing Summary

  Cases Valid Missing Total

  N Percent N Percent N Percent Unstandardized Residual 216 100.0% .0% 216 100.0%

  Descriptives

  Statistic Std. Error Unstandardized Residual Mean

  .0000000 31.87404 95% Confidence Lower Bound -62.8256 Interval for Mean

  Upper Bound 62.82561

  5% Trimmed Mean

• 58.2507 Median -101.694

  Variance 219446.1 Std. Deviation

  468.4508 Minimum

• 1021.99 Maximum 2923.724 Range 3945.712

  Interquartile Range 136.9132

  Skewness 4.324 .166

  Kurtosis 23.386 .330

  Extreme Values

  Case Number Value Unstandardized Residual Highest

  1 102 2923.724 2 57 2825.896 3 116 2815.105 4 160 2700.421

  5 209 1711.138 Lowest

  1 161 -1021.99 2 110 -821.341

  3 165 -711.616 4 216 -699.785 5 51 -506.336

  

Tests of Normality

a

  Kolmogorov-Smirnov Shapiro-Wilk Statistic df Sig. Statistic df Sig. Unstandardized Residual .272 216 .000 .528 216 .000 a.

  Lilliefors Significance Correction

MODERASI AKB PADA MODEL ROI Regression Variables Entered/Removed b

  ANOVA b 6837049 3 2279016.287 9485.866 .000 a

  (UJI HIPOTESIS 4a)

  Residuals Statistics a

  VIF Collinearity Statistics Dependent Variable: DK a.

  

Standardized

Coefficients

t Sig. Tolerance

  1 B Std. Error Unstandardized Coefficients

Beta

  Model

  

54.985 2.133 25.778 .000

25.811 1.738 .104 14.847 .000 .707 1.414

  

Coefficients

a

  Predictors: (Constant), ZROI_ZAK, Zscore(ROI), Zscore(AKB) a. Dependent Variable: DK b.

  27869.452 116 240.254 6864918 119 Regression Residual Total Model

  Dependent Variable: DK b.

  ZROI_ZAK, Zscore(RO I), Zscore(AK

  1 R R Square Adjusted R Square Std. Error of the Estimate Durbin-W atson Predictors: (Constant), ZROI_ZAK, Zscore(ROI), Zscore(AKB) a.

  .996 .996 15.5001257 1.859 Model

  Model Summary b .998 a

  Dependent Variable: DK b.

  a.

  Variables Removed Method All requested variables entered.

  1 Variables Entered

  . Enter Model

  a

  B)

• 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
>5.145875 2636.359 40.983628 239.6960411 120
• 35.6625 41.369808 .000000 15.3034988
• .192 10.828 .000 1.000 120 Predicted Value Residual Std. Predicted Value Minimum Maximum Mean Std. Deviation N

MODERASI AKB PADA MODEL ROI (UJI NORMALITAS AKHIR) Explore

  

Case Processing Summary

  Cases Valid Missing Total

  N Percent N Percent N Percent Unstandardized Residual 120 55.6% 96 44.4% 216 100.0%

  Descriptives

  Statistic Std. Error Unstandardized Residual Mean

  .0000000 1.397012 95% Confidence Lower Bound -2.76622 Interval for Mean

  Upper Bound 2.7662231

  5% Trimmed Mean

• .1630418 Median -1.18857 Variance 234.197 Std. Deviation 15.30350

  Minimum

• 35.66253 Maximum 41.36981 Range 77.03234

  Interquartile Range 19.67616

  Skewness .245 .221 Kurtosis

  .165 .438

  Extreme Values

  Case Number Value Unstandardized Residual Highest

  1 26 41.36981

  2 93 34.99009 3 153 34.01171 4 129 33.32785

  5 170 32.76984 Lowest

  1 45 -35.66253 2 207 -34.54591

  3 179 -30.01043 4 142 -29.55954 5 147 -29.42585

  

Tests of Normality

a

  Kolmogorov-Smirnov Shapiro-Wilk Statistic df Sig. Statistic df Sig. Unstandardized Residual .077 120 .081 .986 120 .275 a.

  Lilliefors Significance Correction

MODERASI AKB PADA MODEL ROI (UJI HETEROKEDASTISITAS) GLEJSER b Variables Entered/Removed

  Variables Variables Model Entered Removed Method

  1 ZROI_ZAK, Zscore(RO I), . Enter Zscore(AK

  a

  B) a. All requested variables entered.

  b.

  Dependent Variable: ABS_RES

  Model Summary

  Adjusted Std. Error of Model R R Square R Square the Estimate

  a

  1 .198 .039 .014 9.74172 a.

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

  b ANOVA

  Sum of Model Squares df Mean Square F Sig.

  a

  1 Regression 450.352 3 150.117 1.582 .198

  Residual 11008.530 116 94.901

  Total 11458.882 119 a. Predictors: (Constant), ZROI_ZAK, Zscore(ROI), Zscore(AKB) b. Dependent Variable: ABS_RES

  

a

Coefficients

  Unstandardized Standardized Coefficients Coefficients Model B Std. Error Beta t Sig.

  1 (Constant) 13.225 1.341 9.865 .000 Zscore(ROI)

  .858 1.093 .085 .786 .434 Zscore(AKB)

• .810 1.632 -.075 -.496 .620 ZROI_ZAK -1.575 1.324 -.191 -1.190 .237 a.

  Dependent Variable: ABS_RES

MODEL MODERASI AKB PADA MODEL CR (UJI INTERAKSI) Regression b Variables Entered/Removed

  Variables Variables Model Entered Removed Method

  1 ZCR_ZAK

  B, Zscore(AK

  . Enter

  B), Zscore(C

  a

  R) a. All requested variables entered.

  b.

  Dependent Variable: DK

  b Model Summary Adjusted Std. Error of Durbin-W Model R R Square R Square the Estimate atson a

  1 .447 .199 .188 492.0627917 2.177 a.

  Predictors: (Constant), ZCR_ZAKB, Zscore(AKB), Zscore(CR) b. Dependent Variable: DK b ANOVA

  Sum of Model Squares df Mean Square F Sig. a

  1 Regression 12787273 3 4262424.214 17.604 .000 Residual

  51330668 212 242125.791 Total 64117940 215 a.

  Predictors: (Constant), ZCR_ZAKB, Zscore(AKB), Zscore(CR) b. Dependent Variable: DK a

  

Coefficients

Unstandardized Standardized Coefficients Coefficients Collinearity Statistics

  Model B Std. Error Beta t Sig. Tolerance

  VIF 1 (Constant) 369.405 86.665 4.262 .000 Zscore(CR) 278.359 171.225 .510 1.626 .106 .038 26.034 Zscore(AKB)

• 517.385 163.948 -.947 -3.156 .002 .042 23.868 ZCR_ZAKB -307.229 175.325 -.754 -1.752 .081 .020 48.982 a.

  Dependent Variable: DK a Residuals Statistics

  Minimum Maximum Mean Std. Deviation N Predicted Value

• 59.0029 2437.769 229.3293 243.8763759 216 Residual -787.914 3179.680 .000000 488.6177357 216 Std. Predicted Value -1.182 9.056 .000 1.000 216 Std. Residual -1.601 6.462 .000 .993 216 a.

MODEL MODERASI AKB PADA MODEL CR (UJI NORMALITAS AWAL) Explore

  

Case Processing Summary

  Cases Valid Missing Total

  N Percent N Percent N Percent Unstandardized Residual 216 100.0% .0% 216 100.0%

  Descriptives

  Statistic Std. Error Unstandardized Residual Mean

  .0000000 .23954798 95% Confidence Lower Bound -.4721632 Interval for Mean

  Upper Bound .4721632

  5% Trimmed Mean

• .2017541 Median -.0528243 Variance 12.395 Std. Deviation

  3.520622 Minimum

• 9.80281 Maximum 31.72321 Range 41.52602

  Interquartile Range .5728794

  Skewness 6.406 .166 Kurtosis

  57.549 .330

  Extreme Values

  Case Number Value Unstandardized Residual Highest 1 169 31.72321

  2 161 30.56647 3 212 12.76895 4 123 6.54234

  5 111 5.16599 Lowest

  1 102 -9.80281 2 116 -9.78286

  3 57 -9.05249 4 160 -8.50404 5 106 -3.97419

  

Tests of Normality

a

  Kolmogorov-Smirnov Shapiro-Wilk Statistic df Sig. Statistic df Sig. Unstandardized Residual

  .402 216 .000 .334 216 .000 a. Lilliefors Significance Correction

MODEL MODERASI AKB PADA MODEL CR (UJI HIPOTESIS 4c, SELISIH MUTLAK) Regression b Variables Entered/Removed

  Variables Variables Model Entered Removed Method

  a

  1 DK . Enter a.

  All requested variables entered.

  b.

  Dependent Variable: ABS_E

  b Model Summary

  Adjusted Std. Error of Durbin-W Model R R Square R Square the Estimate atson

  a

  1 .087 .008 .002 .15996 2.076 a.

  Predictors: (Constant), DK b. Dependent Variable: ABS_E

  b ANOVA

  Sum of Model Squares df Mean Square F Sig.

  a

  1 Regression .037 1 .037 1.435 .232

  Residual 4.811 188 .026 Total

  4.847 189 a. Predictors: (Constant), DK b. Dependent Variable: ABS_E

  a Coefficients

  Unstandardized Standardized Coefficients Coefficients Model B Std. Error Beta t Sig.

  1 (Constant) .731 .012 58.703 .000

  DK -3.16E-05 .000 -.087 -1.198 .232 a. Dependent Variable: ABS_E

  

a

Residuals Statistics

  Minimum Maximum Mean Std. Deviation N Predicted Value .6242 .7311 .7258 .01394 190 Residual

• .4690 .4083 .0000 .15954 190 Std. Predicted Value -7.283 .386 .000 1.000 190

  Std. Residual -2.932 2.553 .000 .997 190 a.

  Dependent Variable: ABS_E

MODEL MODERASI AKB PADA MODEL CR (UJI NORMALITAS AKHIR) Explore

  

Case Processing Summary

  Cases Valid Missing Total

  N Percent N Percent N Percent Unstandardized Residual 190 88.0% 26 12.0% 216 100.0%

  Descriptives

  Statistic Std. Error Unstandardized Residual Mean

  .0000000 .01157430 95% Confidence Lower Bound -.0228314 Interval for Mean

  Upper Bound .0228314

  5% Trimmed Mean .0041240

  Median .0136033 Variance

  .025 Std. Deviation

  .15954069 Minimum

• .46898 Maximum .40834 Range .87732

  Interquartile Range .1959719

  Skewness -.413 .176 Kurtosis

  .287 .351

  Extreme Values

  Case Number Value Unstandardized Residual Highest 1 174 .40834

  2 140 .36119 3 122 .33528 4 110 .29435

  5 132 .28122 Lowest

  1 64 -.46898 2 112 -.42707

  3 179 -.39056 4 189 -.38652 5 147 -.37991

  

Tests of Normality

a

  Kolmogorov-Smirnov Shapiro-Wilk Statistic df Sig. Statistic df Sig. Unstandardized Residual .063 190 .066 .985 190 .046 a.

  Lilliefors Significance Correction

MODEL MODERASI AKB PADA MODEL CR (UJI HETEROKEDASTISITAS) GLEJSER b Variables Entered/Removed

  Variables Variables Model Entered Removed Method

  a

  1 DK . Enter a.

  All requested variables entered.

  b.

  Dependent Variable: ABS_RES

  Model Summary

  Adjusted Std. Error of Model R R Square R Square the Estimate

  a

  1 .009 .000 -.005 .10065 a.

  Predictors: (Constant), DK

  b ANOVA

  Sum of Model Squares df Mean Square F Sig.

  a

  1 Regression .000 1 .000 .017 .897

  Residual 1.905 188 .010

  Total 1.905 189 a. Predictors: (Constant), DK b. Dependent Variable: ABS_RES

  

a

Coefficients

  Unstandardized Standardized Coefficients Coefficients Model B Std. Error Beta t Sig.

  1 (Constant) .124 .008 15.827 .000

  DK

• 2.16E-06 .000 -.009 -.130 .897 a.

  Dependent Variable: ABS_RES

MODERASI AKB PADA MODEL DTA (UJI NORMALITAS AWAL) Explore

  

Case Processing Summary

  Cases Valid Missing Total

  N Percent N Percent N Percent Unstandardized Residual 216 100.0% .0% 216 100.0%

  Descriptives

  Statistic Std. Error Unstandardized Residual Mean

  .0000000 .23916684 95% Confidence Lower Bound -.4714120 Interval for Mean

  Upper Bound .4714120

  5% Trimmed Mean

• .1992104 Median -.0869120 Variance 12.355 Std. Deviation

  3.515020 Minimum

• 9.74666 Maximum 31.91239 Range 41.65905

  Interquartile Range .5648959

  Skewness 6.416 .166 Kurtosis

  57.820 .330

  Extreme Values

  Case Number Value Unstandardized Residual Highest 1 169 31.91239

  2 161 30.33303 3 212 12.52713 4 123 6.63471

  5 111 5.15978 Lowest

  1 116 -9.74666 2 102 -9.72867

  3 57 -9.14118 4 160 -8.65159 5 106 -3.80056

  

Tests of Normality

a

  Kolmogorov-Smirnov Shapiro-Wilk Statistic df Sig. Statistic df Sig. Unstandardized Residual

  .388 216 .000 .337 216 .000 a. Lilliefors Significance Correction

MODERASI AKB PADA MODEL DTA (UJI NORMALITAS AKHIR) Explore

  

Case Processing Summary

  Cases Valid Missing Total

  N Percent N Percent N Percent Unstandardized Residual 113 52.3% 103 47.7% 216 100.0%

  Descriptives

  Statistic Std. Error Unstandardized Residual Mean

  .0000000 1.313339 95% Confidence Lower Bound -2.60221 Interval for Mean

  Upper Bound 2.6022130

  5% Trimmed Mean

• .1147462 Median -1.72192 Variance 194.909 Std. Deviation 13.96099

  Minimum

• 37.91210 Maximum 32.14839 Range 70.06049

  Interquartile Range 17.07388

  Skewness .264 .227 Kurtosis

• .198 .451

  Extreme Values

  Case Number Value Unstandardized Residual Highest 1 129 32.14839

  2 126 32.09780 3 137 27.40465 4 195 26.90093

  5 150 26.37506 Lowest

  1 139 -37.91210 2 207 -26.48574

  3 179 -25.91693 4 64 -24.45158 5 103 -21.51275

  

Tests of Normality

a

  Kolmogorov-Smirnov Shapiro-Wilk Statistic df Sig. Statistic df Sig. Unstandardized Residual .081 113 .065 .980 113 .088 a.

  Lilliefors Significance Correction

MODERASI AKB PADA MODEL DTA (UJI HIPOTESIS 4d) Regression b Variables Entered/Removed

  Variables Variables Model Entered Removed Method

  1 ZDTA_ZA K, Zscore(DT

  . Enter

  A), Zscore(AK

  a

  B) a. All requested variables entered.

  b.

  Dependent Variable: DK

  b Model Summary

  Adjusted Std. Error of Durbin-W Model R R Square R Square the Estimate atson

  a

  1 .994 .989 .988 14.1518051 2.027 a.

  Predictors: (Constant), ZDTA_ZAK, Zscore(DTA), Zscore(AKB) b. Dependent Variable: DK

  b ANOVA Sum of Model Squares df Mean Square F Sig. a

  1 Regression 1906905 3 635635.094 3173.834 .000 Residual 21829.821 109 200.274

  Total 1928735 112 a. Predictors: (Constant), ZDTA_ZAK, Zscore(DTA), Zscore(AKB) b. Dependent Variable: DK a Coefficients

  Unstandardized Standardized Coefficients Coefficients Collinearity Statistics Model B Std. Error Beta t Sig. Tolerance

  VIF 1 (Constant)

45.398 2.230 20.356 .000

Zscore(DTA) .607 1.269 .005 .478 .633 .867 1.154

  Zscore(AKB)

• 160.143 2.213 -1.018 -72.364 .000 .524 1.907 ZDTA_ZAK -4.988 1.921 -.037 -2.596 .011 .516 1.940 a.

  Dependent Variable: DK a Residuals Statistics

  Minimum Maximum Mean Std. Deviation N Predicted Value

• 4.451700 1393.553 28.557835 130.4834856 113 Residual -37.9121 32.148392 .000000 13.9609855 113 Std. Predicted Value -.253 10.461 .000 1.000 113 Std. Residual -2.679 2.272 .000 .987 113

MODERASI AKB PADA MODEL DTA (UJI HETEROKEDASTISITAS) GLEJSER b Variables Entered/Removed

  Variables Variables Model Entered Removed Method

  1 ZDTA_ZA K, Zscore(DT

  . Enter

  A), Zscore(AK

  a

  B) a. All requested variables entered.

  b.

  Dependent Variable: ABS_RES

  Model Summary

  Adjusted Std. Error of Model R R Square R Square the Estimate

  a

  1 .221 .049 .023 8.08823 a.

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

  b ANOVA

  Sum of Model Squares df Mean Square F Sig.

  a

  1 Regression 366.002 3 122.001 1.865 .140

  Residual 7130.719 109 65.419 Total

  7496.721 112 a. Predictors: (Constant), ZDTA_ZAK, Zscore(DTA), Zscore(AKB) b. Dependent Variable: ABS_RES

  

a

Coefficients

  Unstandardized Standardized Coefficients Coefficients Model B Std. Error Beta t Sig.

  1 (Constant) 13.281 1.275 10.419 .000

  Zscore(DTA)

• .459 .725 -.064 -.634 .528 Zscore(AKB) -1.301 1.265 -.133 -1.028 .306 ZDTA_ZAK -2.099 1.098 -.249 -1.911 .059 a.

  Dependent Variable: ABS_RES