LAMPIRAN
Data –data Rasio Keuangan Bank BPD di Indonesia
Periode 2008-2012
TAHUN NAMA BANK
TAHUN NAMA BANK
TAHUN NAMA BANK
STATISTIK DESKRIPTIF
Descriptive Statistics
N Minimum Maximum Mean Std. Deviation
UJI NORMALITAS
Hasil Uji Normalitas
One-Sample Kolmogorov-Smirnov Test
ROA CAR NPL NIM BOPO LDR
N 130 130 130 130 130 130
Normal Parameters a,b
Mean 3.9445 19.3860 2.1492 9.3429 72.1841 74.8592
Std. Deviation 1.41155 6.40755 1.91679 2.34323 8.27126 18.61989
Most Extreme Difference
a. Test distribution is Normal. b. Calculated from data.
Hasil uji Normalitas dengan Transformasi Data
One-Sample Kolmogorov-Smirnov Test
LnROA LnCAR LnNPL LnNIM LnBOPO LnLDR
N 130 130 130 130 130 130
Normal Parametersa, b
Mean 1.3131 2.9190 .3619 2.2058 4.2726 4.2798
Std. Deviation .34480 .29386 1.01265 .23766 .11633 .28235
Most Extreme Differences
Absolute .046 .063 .092 .060 .102 .116
Positive .035 .063 .052 .060 .065 .054
Negative -.046 -.040 -.092 -.032 -.102 -.116
Kolmogorov-Smirnov Z .526 .721 1.053 .681 1.159 1.325
Asymp. Sig. (2-tailed) .945 .676 .218 .743 .136 .060
Grafik Distribusi Normal
Grafik Normal Plot
UJI HETEROSKEDASTISITAS
UJI AUTOKORELASI
Model Summaryb
Model
R R Square
Adjusted R Square
Std. Error of the
Estimate Durbin-Watson
1 .444a .197 .165 17.01870 1.535
a. Predictors: (Constant), BOPO, NPL, NIM, CAR, ROA b. Dependent Variable: LDR
UJI MULTIKOLINEARITAS
Coefficientsa
Model Collinearity Statistics Tolerance VIF
1
(Constant)
LnROA .590 1.694
LnCAR .890 1.123
LnNPL .983 1.017
LnNIM .732 1.367
LnBOPO .735 1.360
Koefisien Korelasi
Coefficient Correlationsa
Model BOPO NPL NIM CAR ROA
a. Dependent Variable: LDR
REGRESI
Variables Entered/Removedb
Model
Variables Entered
Variables
Removed Method
1 LnBOPO,
LnNPL, LnNIM, LnCAR, LnROAa
. Enter
a. All requested variables entered. b. Dependent Variable: LnLDR
Model Summary
Model
R R Square
Adjusted R Square
Std. Error of the Estimate
1 .467a .218 .186 .25473
a. Predictors: (Constant), LnBOPO, LnNPL, LnNIM, LnCAR, LnROA
ANOVAb
Model Sum of Squares Df Mean Square F Sig.
1 Regression 2.238 5 .448 6.898 .000a
Residual 8.046 124 .065
Total 10.284 129
a. Predictors: (Constant), LnBOPO, LnNPL, LnNIM, LnCAR, LnROA b. Dependent Variable: LnLDR
Coefficientsa
Model
Unstandardized Coefficients
Standardized
Coefficients t Sig.
a. Dependent Variable: LnLDR
Koefisien Korelasi
Coefficient Correlationsa
Model BOPO NPL NIM CAR ROA
a. Dependent Variable: LDR
REGRESI
Variables Entered/Removedb Model
Variables Entered
Variables
Removed Method
1 LnBOPO,
LnNPL, LnNIM, LnCAR, LnROAa
. Enter
a. All requested variables entered. b. Dependent Variable: LnLDR
Model Summary Model
R R Square
Adjusted R Square
Std. Error of the Estimate
1 .467a .218 .186 .25473
ANOVAb
Model Sum of Squares Df Mean Square F Sig.
1 Regression 2.238 5 .448 6.898 .000a
Residual 8.046 124 .065
Total 10.284 129
a. Predictors: (Constant), LnBOPO, LnNPL, LnNIM, LnCAR, LnROA b. Dependent Variable: LnLDR