LAMPIRAN 1: OUTPUT SPSS
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1 LAMPIRAN : OUTPUT SPSS Statistik Deskriptif Descriptive Statistics N Minimum Maximum Mean Std. Deviation Daabs CAR RORA ROA NPM LDR Valid N (listwise) 95
2 Uji Asumsi Klasik Penghitungan Manajemen Laba Uji Normalitas (Sebelum Data Normal) Case Processing Summary Cases Valid Missing Total N Percent N Percent N Percent % 0 0.0% % Descriptives Statistic Std. Error Mean 0E % Confidence Interval for Mean Lower Bound Upper Bound % Trimmed Mean Median Variance.049 Std. Deviation Minimum Maximum Range Interquartile Range Skewness Kurtosis Extreme Values Case Number Value Highest Lowest Tests of Normality Kolmogorov-Smirnov a Shapiro-Wilk Statistic df Sig. Statistic df Sig a. Lilliefors Significance Correction
3 Uji Normalitas (Setelah Data Normal) Case Processing Summary Cases Valid Missing Total N Percent N Percent N Percent % 0 0.0% % Descriptives Statistic Std. Error Mean 0E % Confidence Interval for Mean Lower Bound Upper Bound % Trimmed Mean Median Variance.002 Std. Deviation Minimum Maximum.0896 Range.2220 Interquartile Range Skewness Kurtosis Extreme Values Case Number Value Highest Lowest Tests of Normality Kolmogorov-Smirnov a Shapiro-Wilk Statistic df Sig. Statistic df Sig * *. This is a lower bound of the true significance. a. Lilliefors Significance Correction
4 Uji Heteroskedastisitas Variables Entered/Removed a Model Variables Entered Variables Removed DNPA, CO, LOAN, NPA b a. Dependent Variable: absolut b. All requested variables entered.. Enter Method Model Summary Model R R Square Adjusted R Square Std. Error of the Estimate.207 a a. Predictors: (Constant), DNPA, CO, LOAN, NPA ANOVA a Model Sum of Squares df Mean Square F Sig. Regression b Residual Total a. Dependent Variable: absolut b. Predictors: (Constant), DNPA, CO, LOAN, NPA Coefficients a Model Unstandardized Coefficients Standardized Coefficients B Std. Error Beta (Constant) CO LOAN NPA DNPA a. Dependent Variable: absolut t Sig.
5 Uji Multikolinearitas dan Autokorelasi Variables Entered/Removed a Model Variables Entered Variables Removed DNPA, CO, LOAN, NPA b a. Dependent Variable: ALLO b. All requested variables entered.. Enter Method Model Summary b Model R R Square Adjusted R Std. Error of the Durbin-Watson Square Estimate.976 a a. Predictors: (Constant), DNPA, CO, LOAN, NPA b. Dependent Variable: ALLO ANOVA a Model Sum of Squares df Mean Square F Sig. Regression b Residual Total a. Dependent Variable: ALLO b. Predictors: (Constant), DNPA, CO, LOAN, NPA Model Coefficients a Unstandardized Standardized t Sig. Collinearity Coefficients Coefficients Statistics B Std. Error Beta Tolerance VIF (Constant) CO LOAN NPA DNPA a. Dependent Variable: ALLO
6 Uji Asumsi Klasik Pengujian Hipotesis Uji Normalitas (Sebelum Data Normal) Case Processing Summary Cases Valid Missing Total N Percent N Percent N Percent % 0 0.0% % Descriptives Statistic Std. Error Mean 0E % Confidence Interval for Mean Lower Bound Upper Bound % Trimmed Mean Median Variance.00 Std. Deviation Minimum Maximum Range.3388 Interquartile Range Skewness Kurtosis Extreme Values Case Number Value Highest Lowest Tests of Normality Kolmogorov-Smirnov a Shapiro-Wilk Statistic df Sig. Statistic df Sig a. Lilliefors Significance Correction
7 Uji Normalitas (Setelah Data Normal) Case Processing Summary Cases Valid Missing Total N Percent N Percent N Percent % 0 0.0% % Descriptives Statistic Std. Error Mean 0E % Confidence Interval for Mean Lower Bound Upper Bound % Trimmed Mean Median Variance.000 Std. Deviation Minimum Maximum.0578 Range Interquartile Range Skewness Kurtosis Extreme Values Case Number Value Highest Lowest Tests of Normality Kolmogorov-Smirnov a Shapiro-Wilk Statistic df Sig. Statistic df Sig * *. This is a lower bound of the true significance. a. Lilliefors Significance Correction
8 Uji Heteroskedastisitas Variables Entered/Removed a Model Variables Entered Variables Removed LDR, RORA, NPM, CAR, ROA b a. Dependent Variable: absolute2 b. All requested variables entered.. Enter Method Model Summary Model R R Square Adjusted R Square Std. Error of the Estimate.22 a a. Predictors: (Constant), LDR, RORA, NPM, CAR, ROA ANOVA a Model Sum of Squares df Mean Square F Sig. Regression b Residual Total a. Dependent Variable: absolute2 b. Predictors: (Constant), LDR, RORA, NPM, CAR, ROA Coefficients a Model Unstandardized Coefficients Standardized Coefficients B Std. Error Beta (Constant) CAR RORA ROA NPM LDR a. Dependent Variable: absolute2 t Sig.
9 Uji Multikolinearitas dan Autokorelasi dan Hipotesis Variables Entered/Removed a Model Variables Entered Variables Removed LDR, RORA, NPM, CAR, ROA b. Enter Method a. Dependent Variable: DAabs b. All requested variables entered. Model Summary b Model R R Square Adjusted R Std. Error of the Durbin-Watson Square Estimate.344 a a. Predictors: (Constant), LDR, RORA, NPM, CAR, ROA b. Dependent Variable: DAabs ANOVA a Model Sum of Squares df Mean Square F Sig. Regression b Residual Total a. Dependent Variable: DAabs b. Predictors: (Constant), LDR, RORA, NPM, CAR, ROA Model Coefficients a Unstandardized Standardized t Sig. Collinearity Coefficients Coefficients Statistics B Std. Error Beta Tolerance VIF (Constant) CAR RORA ROA NPM LDR a. Dependent Variable: DAabs
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GGraph. Males Only. Premium. Experience. GGraph. Gender. 1 0: R 2 Linear = : R 2 Linear = Page 1
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