Variabel Bebas : X3, X5a Regression Variabel Bebas : X5a Regression

Coefficients a -,027 ,818 -,033 ,974 ,411 ,415 ,231 ,992 ,333 1,594 ,800 ,471 1,992 ,060 -,117 ,380 -,084 -,306 ,763 Constant X3 X5A X6 Model 1 B Std. Error Unstandardized Coefficients Beta Standardized Coefficients t Sig. Dependent Variable: Y1 a. Regression Standardized Predicted Value 3 2 1 -1 -2 Y1 4.000 3.500 3.000 2.500 2.000 1.500 1.000 Scatterplot Dependent Variable: Y1

5. Variabel Bebas : X3, X5a Regression

Universitas Kristen Maranatha Descriptive Statistics 2,24338 ,584800 24 1,58829 ,327707 24 1,15950 ,172726 24 Y1 X3 X5A Mean Std. Deviation N Correlations 1,000 ,334 ,495 ,334 1,000 ,322 ,495 ,322 1,000 . ,056 ,007 ,056 . ,062 ,007 ,062 . 24 24 24 24 24 24 24 24 24 Y1 X3 X5A Y1 X3 X5A Y1 X3 X5A Pearson Correlation Sig. 1-tailed N Y1 X3 X5A Variables EnteredRemoved b X5A, X3 a . Enter Model 1 Variables Entered Variables Removed Method All requested variables entered. a. Dependent Variable: Y1 b. Model Summary b ,528 a ,279 ,210 ,519767 Model 1 R R Square Adjusted R Square Std. Error of the Estimate Predictors: Constant, X5A, X3 a. Dependent Variable: Y1 b. ANOVA b 2,192 2 1,096 4,058 ,032 a 5,673 21 ,270 7,866 23 Regression Residual Total Model 1 Sum of Squares df Mean Square F Sig. Predictors: Constant, X5A, X3 a. Dependent Variable: Y1 b. Universitas Kristen Maranatha Coefficients a -,004 ,797 -,006 ,996 ,347 ,349 ,194 ,993 ,332 1,464 ,663 ,432 2,208 ,038 Constant X3 X5A Model 1 B Std. Error Unstandardized Coefficients Beta Standardized Coefficients t Sig. Dependent Variable: Y1 a. Regression Standardized Predicted Value 4 3 2 1 -1 -2 Y1 4.000 3.500 3.000 2.500 2.000 1.500 1.000 Scatterplot Dependent Variable: Y1 R Sq Linear = 0.279 Universitas Kristen Maranatha

6. Variabel Bebas : X5a Regression

Descriptive Statistics 2,24338 ,584800 24 1,15950 ,172726 24 Y1 X5A Mean Std. Deviation N Correlations 1,000 ,495 ,495 1,000 . ,007 ,007 . 24 24 24 24 Y1 X5A Y1 X5A Y1 X5A Pearson Correlation Sig. 1-tailed N Y1 X5A Variables EnteredRemoved b X5A a . Enter Model 1 Variables Entered Variables Removed Method All requested variables entered. a. Dependent Variable: Y1 b. Model Summary b ,495 a ,245 ,211 ,519595 Model 1 R R Square Adjusted R Square Std. Error of the Estimate Predictors: Constant, X5A a. Dependent Variable: Y1 b. Universitas Kristen Maranatha ANOVA b 1,926 1 1,926 7,135 ,014 a 5,940 22 ,270 7,866 23 Regression Residual Total Model 1 Sum of Squares df Mean Square F Sig. Predictors: Constant, X5A a. Dependent Variable: Y1 b. Coefficients a ,301 ,735 ,409 ,686 1,675 ,627 ,495 2,671 ,014 Constant X5A Model 1 B Std. Error Unstandardized Coefficients Beta Standardized Coefficients t Sig. Dependent Variable: Y1 a. Regression Standardized Predicted Value 3 2 1 -1 -2 Y1 4.000 3.500 3.000 2.500 2.000 1.500 1.000 Scatterplot Dependent Variable: Y1 R Sq Linear = 0.245 Universitas Kristen Maranatha LAMPIRAN 8 ANALISIS REGRESI DENGAN SPSS YANG MENGGUNAKAN SEPEDA MOTOR Universitas Kristen Maranatha

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