Lampiran 6 Regresi Linear Sederhana
6
Regression Descriptive Statistics Mean Std. Deviation N CSR 3,8764 ,44430 100 CITRA 3,7623 ,58991 100 Correlations CSR CITRA Pearson Correlation CSR 1,000 ,693 CITRA ,693 1,000 Sig. (1-tailed) CSR . ,000 CITRA ,000 . N CSR 100 100 CITRA 100 100 Variables Entered/Removed(b) Model Variables Entered Variables Removed Method 1 CITRA(a) . Enter a All requested variables entered. b Dependent Variable: CSR Model Summary(b) Model R R Square Adjusted R Square Std. Error of the Estimate 1 ,693(a) ,481 ,475 ,32183 a Predictors: (Constant), CITRA b Dependent Variable: CSR ANOVA(b) Model Sum of Squares df Mean Square F Sig. 1 Regressio n 9,392 1 9,392 90,684 ,000(a) Residual 10,150 98 ,104 Total 19,543 99 a Predictors: (Constant), CITRA b Dependent Variable: CSR
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Transcript of Lampiran 6 Regresi Linear Sederhana
Regression
Descriptive Statistics
Mean Std. Deviation NCSR 3,8764 ,44430 100CITRA 3,7623 ,58991 100
Correlations
CSR CITRAPearson Correlation CSR 1,000 ,693
CITRA ,693 1,000Sig. (1-tailed) CSR . ,000
CITRA ,000 .N CSR 100 100
CITRA 100 100
Variables Entered/Removed(b)
ModelVariables Entered
Variables Removed Method
1 CITRA(a) . Enter
a All requested variables entered.b Dependent Variable: CSR
Model Summary(b)
Model R R SquareAdjusted R
SquareStd. Error of the Estimate
1 ,693(a) ,481 ,475 ,32183
a Predictors: (Constant), CITRAb Dependent Variable: CSR
ANOVA(b)
Model Sum of
Squares df Mean Square F Sig.1 Regression 9,392 1 9,392 90,684 ,000(a)
Residual 10,150 98 ,104Total 19,543 99
a Predictors: (Constant), CITRAb Dependent Variable: CSR
Coefficients(a)
Model
Unstandardized Coefficients
Standardized Coefficients t Sig. Collinearity Statistics
B Std. Error Beta Tolerance VIF B Std. Error1 (Constant) 1,912 ,209 9,157 ,000
CITRA ,522 ,055 ,693 9,523 ,000 1,000 1,000
a Dependent Variable: CSR
Collinearity Diagnostics(a)
Model Dimension
EigenvalueCondition
Index Variance Proportions
(Constant) CITRA (Constant) CITRA1 1 1,988 1,000 ,01 ,01
2 ,012 12,897 ,99 ,99
a Dependent Variable: CSR
Residuals Statistics(a)
Minimum Maximum Mean Std. Deviation NPredicted Value 2,8759 4,4423 3,8764 ,30802 100Std. Predicted Value -3,248 1,837 ,000 1,000 100Standard Error of Predicted Value ,032 ,110 ,044 ,013 100
Adjusted Predicted Value 2,7539 4,4406 3,8744 ,31141 100Residual -1,03853 ,92411 ,00000 ,32020 100Std. Residual -3,227 2,871 ,000 ,995 100Stud. Residual -3,266 3,055 ,003 1,010 100Deleted Residual -1,06367 1,04605 ,00199 ,33006 100Stud. Deleted Residual -3,442 3,195 ,005 1,029 100Mahal. Distance ,000 10,551 ,990 1,404 100Cook's Distance ,000 ,616 ,016 ,064 100Centered Leverage Value ,000 ,107 ,010 ,014 100
a Dependent Variable: CSR
Regression Standardized Residual20-2-4
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Histogram
Dependent Variable: CSR
Mean =8.17E-16Std. Dev. =0.995
N =100
Observed Cum Prob1.00.80.60.40.20.0
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Normal P-P Plot of Regression Standardized Residual
Dependent Variable: CSR
Regression Studentized Residual420-2-4
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Scatterplot
Dependent Variable: CSR
