117
LAMPIRAN 10
Data Hasil Pengolahan SPSS 1.
Analisis Statistik Deskriptif
Descriptive Statistics
N Minimum
Maximum Mean
Std. Deviation Kredit
144 162769,00
5,05E8 62563057,8542 1,04720E8
DPK 144
116748,00 6,06E8 74607059,7986
1,28146E8 CAR
144 10,35
87,49 19,5730
11,66558 LDR
144 43,46
103,38 81,4217
12,59398 NPL
144 ,00
4,17 1,2869
1,04604 ROA
144 ,24
5,42 2,0908
1,23599 LAR
144 31,98
93,98 69,8251
14,66717 Valid N listwise
144
2. Uji Asumsi Klasik
a. Uji Normalitas
Pengujian Awal Normalitas Kolmogorov-Smirnov
One-Sample Kolmogorov-Smirnov Test
Unstandardized Residual N
144 Normal Parameters
a,b
Mean ,0000000
Std. Deviation 10361928,53827793
Most Extreme Differences Absolute
,143 Positive
,114 Negative
-,143 Kolmogorov-Smirnov Z
1,721 Asymp. Sig. 2-tailed
,005 a. Test distribution is Normal.
b. Calculated from data.
Pengujian Awal Normalitas dengan Histogram
Universitas Sumatera Utara
118
Pengujian Awal Normal Probability Plot
Pengujian Normalitas Kolmogorov-Smirnov dengan Logaritma Natural
One-Sample Kolmogorov-Smirnov Test
Unstandardized Residual N
144 Normal Parameters
a,b
Mean ,0000000
Std. Deviation ,11382030
Most Extreme Differences Absolute
,213 Positive
,213 Negative
-,144 Kolmogorov-Smirnov Z
2,557 Asymp. Sig. 2-tailed
,000 a. Test distribution is Normal.
b. Calculated from data.
Pengujian Normalitas Histogram dengan Logaritma Natural
Universitas Sumatera Utara
119
Pengujian Normal Probability Plot dengan Logaritma Natural
Pengujian Normalitas Kolmogorov-Smirnov setelah Menghilangkan Outlier
One-Sample Kolmogorov-Smirnov Test
Unstandardized Residual N
120 Normal
Parameters
a,b
Mean ,0000000
Std. Deviation ,00985334
Most Extreme Differences
Absolute ,085
Positive ,069
Negative -,085
Kolmogorov-Smirnov Z ,933
Asymp. Sig. 2-tailed ,349
a. Test distribution is Normal. b. Calculated from data.
Pengujian Normalitas Histogram setelah Menghilangkan Outlier
Universitas Sumatera Utara
120
Pengujian Normal Probability plot setelah Menghilangkan Outlier
b. Uji Heteroskedastisitas
Pendekatan Grafik Heteroskedastisitas
Pendekatan Statistik
Universitas Sumatera Utara
121
Uji Glejser
Coefficients
a
Model Unstandardized Coefficients
Standardized Coefficients
t Sig.
B Std. Error
Beta 1
Constant -,030
,028 -1,086
,280 Ln_DPK
,000 ,000
,051 ,438
,663 Ln_CAR
,000 ,002
-,015 -,121
,904 Ln_LDR
,008 ,004
,220 1,975
,051 Ln_NPL
-,001 ,001
-,096 -,968
,335 Ln_ROA
-,001 ,001
-,059 -,505
,614 Ln_LAR
,000 ,003
-,005 -,042
,967 a. Dependent Variable: absut
c. Uji Multikolinearitas
Coefficients
a
Model Unstandardized
Coefficients Standardized
Coefficients t
Sig. Collinearity Statistics
B Std. Error
Beta Tolerance
VIF 1
Constant -4,612
,044 -104,405
,000 Ln_DPK
1,000 ,001
,971 1531,287 ,000
,624 1,603
Ln_CAR ,003
,004 ,001
,925 ,357
,553 1,809
Ln_LDR ,998
,006 ,098
160,633 ,000
,681 1,469
Ln_NPL ,002
,001 ,001
1,405 ,163
,859 1,164
Ln_ROA -,001
,002 -,001
-,814 ,417
,617 1,621
Ln_LAR ,001
,005 ,000
,131 ,896
,575 1,740
a. Dependent Variable: Ln_KREDIT
Universitas Sumatera Utara
122
d. Uji Autokorelasi