Uji Normalitas Uji Linearitas

128 2.3684 2.9020 3 .84085 2.4211 2.6078 3 .44927 2.4737 2.5882 2 .49913 2.5263 2.8235 4 .64259 2.5789 2.7294 5 .27778 2.6316 3.0980 6 .35229 2.6842 3.1412 5 .46801 2.7368 3.0588 5 .32219 2.7895 2.8603 8 .28978 2.8421 2.8971 8 .44881 2.8947 2.7549 6 .41664 2.9474 3.3529 5 .43426 3 3.0000 5 .14997 3.0526 2.5882 4 .68431 3.1053 2.9765 5 .18879 3.1579 3.1618 4 .41421 3.2105 3.4118 2 .66551 3.2632 2.6912 4 .61390 3.3158 2.8431 3 .39167 3.3684 3.3235 4 .45691 3.4211 2.9632 8 .39515 3.4737 3.0588 5 .27902 3.5263 2.5000 2 .45754 3.5789 3.1373 6 .28496 3.6316 3.3235 4 .29017 3.6842 3.0504 7 .26181 3.7368 3.1569 3 .73077 3.7895 3.3235 6 .36214 3.8421 2.7647 1 . 3.8947 3.0588 1 . 3.9474 2.5098 3 .24490 4 2.9118 6 .54772 129 Total 2.9500 160 .45283 ANOVA Table Sum of Squares df Mean Square F Sig. y x2 Between Groups Combined 10.155 42 .242 1.260 .168 Linearity 1.448 1 1.448 7.547 .007 Deviation from Linearity 8.707 41 .212 1.107 .331 Within Groups 22.449 117 .192 Total 32.603 159 Measures of Association R R Squared Eta Eta Squared y x2 .211 .044 .558 .311

3. Uji Mulkolinearitas

Regression Variables EnteredRemoved b Model Variables Entered Variables Removed Method 1 x2, x1 a . Enter a. All requested variables entered. b. Dependent Variable: y Model Summary Model R R Square Adjusted R Square Std. Error of the Estimate 1 .285 a .081 .070 .43678 a. Predictors: Constant, x2, x1 130 ANOVA b Model Sum of Squares Df Mean Square F Sig. 1 Regression 2.652 2 1.326 6.951 .001 a Residual 29.951 157 .191 Total 32.603 159 a. Predictors: Constant, x2, x1 b. Dependent Variable: y Coefficients a Model Unstandardized Coefficients Standardized Coefficients t Sig. Collinearity Statistics B Std. Error Beta Tolerance VIF 1 Constant 2.079 .236 8.793 .000 x1 .160 .064 .192 2.512 .013 1.000 1.000 x2 .165 .059 .213 2.783 .006 1.000 1.000 a. Dependent Variable: y Collinearity Diagnostics a Model Dimensi on Eigenvalue Condition Index Variance Proportions Constant x1 x2 1 1 2.941 1.000 .00 .01 .00 2 .045 8.076 .01 .67 .31 3 .014 14.527 .99 .32 .68 a. Dependent Variable: y 131

4. Uji Homosedastisitas

Nonparametric Correlations Correlations x1 x2 absolut residu Spearmans rho x1 Correlation Coefficient 1.000 -.038 .140 Sig. 2-tailed . .634 .078 N 160 160 160 x2 Correlation Coefficient -.038 1.000 -.048 Sig. 2-tailed .634 . .549 N 160 160 160 absolut residu Correlation Coefficient .140 -.048 1.000 Sig. 2-tailed .078 .549 . N 160 160 160

5. Regresi Ganda

Regression Variables EnteredRemoved b Model Variables Entered Variables Removed Method 1 x2, x1 a . Enter a. All requested variables entered. b. Dependent Variable: y Model Summary Model R R Square Adjusted R Square Std. Error of the Estimate 1 .285 a .081 .070 .43678 a. Predictors: Constant, x2, x1 132 ANOVA b Model Sum of Squares Df Mean Square F Sig. 1 Regression 2.652 2 1.326 6.951 .001 a Residual 29.951 157 .191 Total 32.603 159 a. Predictors: Constant, x2, x1 b. Dependent Variable: y Collinearity Diagnostics a Model Dimensi on Eigenvalue Condition Index Variance Proportions Constant x1 x2 1 1 2.941 1.000 .00 .01 .00 2 .045 8.076 .01 .67 .31 3 .014 14.527 .99 .32 .68 a. Dependent Variable: y

1. Perhitungan SE dan SR

X1 X2 Y X1Y X2Y X12 X22 Y2 24 59 49 1176 2891 576 3481 2401 32 65 51 1632 3315 1024 4225 2601 31 68 58 1798 3944 961 4624 3364 36 31 45 1620 1395 1296 961 2025 27 31 42 1134 1302 729 961 1764 38 49 44 1672 2156 1444 2401 1936 26 49 51 1326 2499 676 2401 2601 43 69 54 2322 3726 1849 4761 2916 35 55 48 1680 2640 1225 3025 2304 36 50 50 1800 2500 1296 2500 2500 28 50 45 1260 2250 784 2500 2025 37 62 60 2220 3720 1369 3844 3600 42 57 51 2142 2907 1764 3249 2601 25 52 50 1250 2600 625 2704 2500