Lampiran 1. Data Perusahaan
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1 Lampiran. Data Perusahaan NO PERUSH MV EARN DIV CFO LB.USAHA TOT.ASS ACAP ADES AQUA BATA BKSL BRPT CMPP CTRS DNKS DYNA ELTY GGRM GJTL HDTX HMSP IKAI IMAS INDF INTA INTD INTP KLBF MERK SMCB SMSM UNVR NIPS MDRN DVLA LTLS MIRA MYOR SMDR SMGR SMRA STTP TSPC TURI ZBRA
2 NO PERUSH MV EARN DIV CFO LB.USAHA TOT.ASS ACAP ADES AQUA BATA BKSL BRPT CMPP CTRS DNKS DYNA ELTY GGRM GJTL HDTX HMSP IKAI IMAS INDF INTA INTD INTP KLBF MERK SMCB SMSM UNVR NIPS MDRN DVLA LTLS MIRA MYOR SMDR SMGR SMRA STTP TSPC TURI ZBRA
3 3 NO PERUSH MV EARN DIV CFO LB.USAHA TOT.ASS ACAP ADES AQUA BATA BKSL BRPT CMPP CTRS DNKS DYNA ELTY GGRM GJTL HDTX HMSP IKAI IMAS INDF INTA INTD INTP KLBF MERK SMCB SMSM UNVR NIPS MDRN DVLA LTLS MIRA MYOR SMDR SMGR SMRA STTP TSPC TURI ZBRA
4 NO PERUSH MV EARN DIV CFO LB.USAHA TOT.ASS ACAP ADES AQUA BATA BKSL BRPT CMPP CTRS DNKS DYNA ELTY GGRM GJTL HDTX HMSP IKAI IMAS INDF INTA INTD INTP KLBF MERK SMCB SMSM UNVR NIPS MDRN DVLA LTLS MIRA MYOR SMDR SMGR SMRA STTP TSPC TURI ZBRA
5 Lampiran. Deskriptif Statistik, Uji Asumsi Klasik dan Regresi Variabel Dependen Deskriptif Statistik Descriptive Statistics MV Valid N (listwise) N Minimum Maximum Mean Std. Deviation Variabel Independen Descriptive Statistics EARNINGS DIV Valid N (listwise) N Minimum Maximum Mean Std. Deviation
6 MVit = ao + ait + Uit Uji Normalitas Explore Case Processing Summary Cases Valid Missing Total N Percent N Percent N Percent 78 5.% 78 5.% 56.% Descriptives Mean 95% Confidence Interval for Mean Lower Bound Upper Bound Statistic Std. Error % Trimmed Mean Median Variance Std. Deviation Minimum Maximum Range Interquartile Range Skewness Kurtosis Extreme Values Highest Lowest Case Number Value
7 Tests of Normality Kolmogorov-Smirnov a Shapiro-Wilk Statistic df Sig. Statistic df Sig a. Lilliefors Significance Correction Histogram 8 6 Frequency Std. Dev = 78.9 Mean =. N = Normal Q-Q Plot of Expected Normal Observed Value 7
8 .8 Detrended Normal Q-Q Plot of.6.. Dev from Normal Observed Value N = 78 Unstandardized Resid Uji Heteroskedastisitas Regression Descriptive Statistics ABS_ Mean Std. Deviation N
9 Correlations Pearson Correlation Sig. (-tailed) N ABS_ ABS_ ABS_ ABS_ Variables Entered/Removed b Variables Variables Entered Removed Method a. Enter a. All requested variables entered. b. Dependent Variable: ABS_ Summary b Adjusted Std. Error of Durbin-W R R Square R Square the Estimate atson. a a. Predictors: (Constant), b. Dependent Variable: ABS_ Regression Residual Total a. Predictors: (Constant), b. Dependent Variable: ABS_ ANOVA b Sum of Squares df Mean Square F Sig a Unstandardized Coefficients Coefficients a Standardized Coefficients B Std. Error Beta t Sig. Tolerance VIF (Constant) E a. Dependent Variable: ABS_ Collinearity Statistics 9
10 Collinearity Diagnostics a Dimension a. Dependent Variable: ABS_ Condition Variance Proportions Eigenvalue Index (Constant) Predicted Value Residual Std. Predicted Value Std. Residual a. Dependent Variable: ABS_ Residuals Statistics a Minimum Maximum Mean Std. Deviation N Histogram Charts Dependent Variable: ABS_ 8 6 Frequency Std. Dev =.99 Mean =. N = Regression Standardized Residual
11 Normal P-P Plot of Regression Standardized Residual. Dependent Variable: ABS_.75 Expected Cum Prob Observed Cum Prob Uji Multikolinearitas, Uji Autokorelasi Regression Descriptive Statistics MV Mean Std. Deviation N Pearson Correlation Sig. (-tailed) N Correlations MV MV MV MV Variables Entered/Removed b Variables Variables Entered Removed Method a. Enter a. All requested variables entered. b. Dependent Variable: MV
12 Summary b Adjusted Std. Error of Durbin-W R R Square R Square the Estimate atson.6 a a. Predictors: (Constant), b. Dependent Variable: MV Regression Residual Total a. Predictors: (Constant), b. Dependent Variable: MV ANOVA b Sum of Squares df Mean Square F Sig a Unstandardized Coefficients Coefficients a Standardized Coefficients Collinearity Statistics B Std. Error Beta t Sig. Tolerance VIF (Constant) E a. Dependent Variable: MV Collinearity Diagnostics a Dimension a. Dependent Variable: MV Condition Variance Proportions Eigenvalue Index (Constant) Predicted Value Residual Std. Predicted Value Std. Residual a. Dependent Variable: MV Residuals Statistics a Minimum Maximum Mean Std. Deviation N
13 Charts Histogram Dependent Variable: MV 8 6 Frequency Std. Dev =.99 Mean =. N = Regression Standardized Residual Normal P-P Plot of Regression Standardized Residual. Dependent Variable: MV.75 Expected Cum Prob Observed Cum Prob 3
14 MVit = bo + beit + vit Uji Normalitas Explore Case Processing Summary Cases Valid Missing Total N Percent N Percent N Percent 78 5.% 78 5.% 56.% Descriptives Mean 95% Confidence Interval for Mean Lower Bound Upper Bound Statistic Std. Error % Trimmed Mean Median Variance Std. Deviation Minimum Maximum Range Interquartile Range Skewness Kurtosis Extreme Values Highest Lowest Case Number Value
15 Tests of Normality Kolmogorov-Smirnov a Shapiro-Wilk Statistic df Sig. Statistic df Sig a. Lilliefors Significance Correction Histogram 8 6 Frequency Std. Dev = 8.73 Mean =. N = Normal Q-Q Plot of Expected Normal Observed Value 5
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