One-Sample Kolmogorov-Smirnov Test
104 .0000000
2.03432614 .083
.083 -.068
.842 .478
N Mean
Std. Deviation Normal Parameters
a,b
Absolute Positive
Negative Most Extreme
Differences
Kolmogorov-Smirnov Z As ymp. Sig. 2-tailed
Unstandardized Residual
Test distribution is Normal. a.
Calculated from data. b.
Observed Cum Prob
1.0 0.8
0.6 0.4
0.2 0.0
E xpect
ed C
um P
rob
1.0 0.8
0.6 0.4
0.2 0.0
Normal P-P Plot of Unstandardized Residual
Model Summar y
b
2.030
a
Model 1
Durbin- Watson
Predictors: Constant, STVA, VAHU, VACA a.
Dependent Vari able: ROA b.
2. Pengujian Hipotesis Kedua
A. Hasil Uji Normalitas NPar Tests Hipotesis Kedua Y
2
B. Unstandardized Residual
C. Hasil Uji Autokorelasi Hipotesis kedua
Coefficients
a
.972 1.029
.972 1.028
.999 1.001
VACA VAHU
STVA Model
1 Tolerance
VIF Collinearity Statistics
Dependent Vari able: abs _res 8 a.
Collinearity Diagnostics
a
2.409 1.000
.04 .05
.05 .05
.882 1.653
.00 .47
.36 .00
.540 2.112
.02 .38
.48 .21
.169 3.781
.94 .10
.11 .75
Di mension 1
2 3
4 Model
1 Eigenvalue
Condition Index
Constant VACA
VAHU STVA
Variance Proportions
Dependent Vari able: abs _res 8 a.
Coefficients
a
-.487 7.892
-.062 .951
33.860 2.959
.764 11.444
.223 .079
.048 .111
1.659 .100
1.625 5.748
.019 .283
.778 Constant
VACA VAHU
STVA Model
1 B
Std. Error Unstandardized
Coefficients Beta
Standardized Coefficients
t Sig.
Dependent Vari able: abs _res 8 a.
Residuals Statistics
a
-18.4035 296.2428
30.8614 46.96611
104 -106.538
200.08832 .00000
41.02965 104
-1.049 5.650
.000 1.000
104 -2.559
4.805 .000
.985 104
Predicted Value Residual
Std. Predicted Value Std. Residual
Minimum Maximum
Mean Std. Deviati on
N
Dependent Vari able: abs _res 8 a.
D. Hasil Uji Multikolinieritas Hipotesis Kedua
Hasil Uji Heterokedastisitas Hipotesis Kedua
Regression Standardized Residual
6 4
2 -2
-4
Frequency
60 50
40 30
20 10
Histogram Dependent Variable: abs_res8
Mean =1.28E-16 Std. Dev. =0.985
N =104
Regression Standardized Predicted Value
6 4
2 -2
R egressi
on S
tandardi zed R
esi dual
6 4
2 -2
-4
Scatterplot Dependent Variable: abs_res8
Model Summary
b
.730
a
.533 .519
2.06462 Model
1 R
R Square Adjusted
R Square Std. Error of
the Estimate Predictors: Constant, STVA, VAHU, VACA
a. Dependent Vari able: ROA
b.
ANOV A
b
487.165 3
162.388 38.096
.000
a
426.264 100
4.263 913.429
103 Regres sion
Residual Total
Model 1
Sum of Squares
df Mean S quare
F Sig.
Predic tors: Constant, STV A, V AHU, VA CA a.
Dependent Variable: ROA b.
E. Charts
F. Regression
