VARIABEL BEBAS X1, X2, X3, X4, X5b, X6 REGRESSION VARIABEL BEBAS X1, X2, X3, X5b, X6 REGRESSION

1. VARIABEL BEBAS X1, X2, X3, X4, X5b, X6 REGRESSION

Descriptive Statistics 1,01292 ,379305 24 5,09217 ,509711 24 1,62621 ,272098 24 1,58829 ,327707 24 ,71275 ,173447 24 ,82117 ,279197 24 1,98808 ,421810 24 Y2 X1 X2 X3 X4 X5b X6 Mean Std. Deviation N Correlations 1,000 ,028 ,417 ,295 -,440 ,900 ,384 ,028 1,000 ,536 ,421 ,416 ,023 ,357 ,417 ,536 1,000 ,208 -,064 ,429 ,461 ,295 ,421 ,208 1,000 -,197 ,326 ,579 -,440 ,416 -,064 -,197 1,000 -,540 ,026 ,900 ,023 ,429 ,326 -,540 1,000 ,404 ,384 ,357 ,461 ,579 ,026 ,404 1,000 . ,448 ,021 ,081 ,016 ,000 ,032 ,448 . ,003 ,020 ,022 ,458 ,044 ,021 ,003 . ,164 ,383 ,018 ,012 ,081 ,020 ,164 . ,178 ,060 ,002 ,016 ,022 ,383 ,178 . ,003 ,453 ,000 ,458 ,018 ,060 ,003 . ,025 ,032 ,044 ,012 ,002 ,453 ,025 . 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 Y2 X1 X2 X3 X4 X5b X6 Y2 X1 X2 X3 X4 X5b X6 Y2 X1 X2 X3 X4 X5b X6 Pearson Correlation Sig. 1-tailed N Y2 X1 X2 X3 X4 X5b X6 Universitas Kristen Maranatha Variables EnteredRemoved b X6, X4, X2, X3, X5b, X1 a . Enter Model 1 Variables Entered Variables Removed Method All requested variables entered. a. Dependent Variable: Y2 b. Model Summary b ,903 a ,816 ,751 ,189335 Model 1 R R Square Adjusted R Square Std. Error of the Estimate Predictors: Constant, X6, X4, X2, X3, X5b, X1 a. Dependent Variable: Y2 b. ANOVA b 2,700 6 ,450 12,552 ,000 a ,609 17 ,036 3,309 23 Regression Residual Total Model 1 Sum of Squares df Mean Square F Sig. Predictors: Constant, X6, X4, X2, X3, X5b, X1 a. Dependent Variable: Y2 b. Coefficients a -,063 ,419 -,150 ,883 -,076 ,139 -,102 -,545 ,593 ,117 ,228 ,084 ,512 ,615 ,070 ,195 ,060 ,357 ,725 ,258 ,375 ,118 ,688 ,501 1,252 ,204 ,922 6,148 ,000 -,026 ,142 -,029 -,184 ,856 Constant X1 X2 X3 X4 X5b X6 Model 1 B Std. Error Unstandardized Coefficients Beta Standardized Coefficients t Sig. Dependent Variable: Y2 a. Universitas Kristen Maranatha Regression Standardized Predicted Value 2 1 -1 -2 Y2 1.500 1.250 1.000 0.750 0.500 0.250 Scatterplot Dependent Variable: Y2 R Sq Linear = 0.816

2. VARIABEL BEBAS X1, X2, X3, X5b, X6 REGRESSION

Descriptive Statistics 1,01292 ,379305 24 5,09217 ,509711 24 1,62621 ,272098 24 1,58829 ,327707 24 ,82117 ,279197 24 1,98808 ,421810 24 Y2 X1 X2 X3 X5b X6 Mean Std. Deviation N Universitas Kristen Maranatha Correlations 1,000 ,028 ,417 ,295 ,900 ,384 ,028 1,000 ,536 ,421 ,023 ,357 ,417 ,536 1,000 ,208 ,429 ,461 ,295 ,421 ,208 1,000 ,326 ,579 ,900 ,023 ,429 ,326 1,000 ,404 ,384 ,357 ,461 ,579 ,404 1,000 . ,448 ,021 ,081 ,000 ,032 ,448 . ,003 ,020 ,458 ,044 ,021 ,003 . ,164 ,018 ,012 ,081 ,020 ,164 . ,060 ,002 ,000 ,458 ,018 ,060 . ,025 ,032 ,044 ,012 ,002 ,025 . 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 Y2 X1 X2 X3 X5b X6 Y2 X1 X2 X3 X5b X6 Y2 X1 X2 X3 X5b X6 Pearson Correlation Sig. 1-tailed N Y2 X1 X2 X3 X5b X6 Variables EnteredRemoved b X6, X1, X5b, X3, X2 a . Enter Model 1 Variables Entered Variables Removed Method All requested variables entered. a. Dependent Variable: Y2 b. Model Summary b ,900 a ,811 ,758 ,186544 Model 1 R R Square Adjusted R Square Std. Error of the Estimate Predictors: Constant, X6, X1, X5b, X3, X2 a. Dependent Variable: Y2 b. Universitas Kristen Maranatha ANOVA b 2,683 5 ,537 15,418 ,000 a ,626 18 ,035 3,309 23 Regression Residual Total Model 1 Sum of Squares df Mean Square F Sig. Predictors: Constant, X6, X1, X5b, X3, X2 a. Dependent Variable: Y2 b. Coefficients a -,012 ,406 -,029 ,977 -,016 ,107 -,022 -,154 ,880 ,063 ,211 ,045 ,299 ,768 ,000 ,164 ,000 ,002 ,999 1,187 ,177 ,873 6,694 ,000 ,016 ,126 ,018 ,125 ,902 Constant X1 X2 X3 X5b X6 Model 1 B Std. Error Unstandardized Coefficients Beta Standardized Coefficients t Sig. Dependent Variable: Y2 a. Regression Standardized Predicted Value 2 1 -1 -2 Y2 1.500 1.250 1.000 0.750 0.500 0.250 Scatterplot Dependent Variable: Y2 R Sq Linear = 0.811 Universitas Kristen Maranatha 3. VARIABEL BEBAS X1, X2, X3, X5b REGRESSION Descriptive Statistics 1,01292 ,379305 24 5,09217 ,509711 24 1,62621 ,272098 24 1,58829 ,327707 24 ,82117 ,279197 24 Y2 X1 X2 X3 X5b Mean Std. Deviation N Correlations 1,000 ,028 ,417 ,295 ,900 ,028 1,000 ,536 ,421 ,023 ,417 ,536 1,000 ,208 ,429 ,295 ,421 ,208 1,000 ,326 ,900 ,023 ,429 ,326 1,000 . ,448 ,021 ,081 ,000 ,448 . ,003 ,020 ,458 ,021 ,003 . ,164 ,018 ,081 ,020 ,164 . ,060 ,000 ,458 ,018 ,060 . 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 Y2 X1 X2 X3 X5b Y2 X1 X2 X3 X5b Y2 X1 X2 X3 X5b Pearson Correlation Sig. 1-tailed N Y2 X1 X2 X3 X5b Variables EnteredRemoved b X5b, X1, X3, X2 a . Enter Model 1 Variables Entered Variables Removed Method All requested variables entered. a. Dependent Variable: Y2 b. Universitas Kristen Maranatha Model Summary b ,900 a ,811 ,771 ,181647 Model 1 R R Square Adjusted R Square Std. Error of the Estimate Predictors: Constant, X5b, X1, X3, X2 a. Dependent Variable: Y2 b. ANOVA b 2,682 4 ,671 20,322 ,000 a ,627 19 ,033 3,309 23 Regression Residual Total Model 1 Sum of Squares df Mean Square F Sig. Predictors: Constant, X5b, X1, X3, X2 a. Dependent Variable: Y2 b. Coefficients a -,010 ,395 -,024 ,981 -,017 ,104 -,023 -,161 ,874 ,071 ,195 ,051 ,364 ,720 ,010 ,140 ,009 ,072 ,943 1,189 ,172 ,875 6,932 ,000 Constant X1 X2 X3 X5b Model 1 B Std. Error Unstandardized Coefficients Beta Standardized Coefficients t Sig. Dependent Variable: Y2 a. Universitas Kristen Maranatha Regression Standardized Predicted Value 2 1 -1 -2 Y2 1.500 1.250 1.000 0.750 0.500 0.250 Scatterplot Dependent Variable: Y2 R Sq Linear = 0.811

4. VARIABEL BEBAS : X2, X3, X5b REGRESSION