73
BAB V
PENUTUP
5.1. Kesimpulan
74
5.2. Saran
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Yusriyanti, Hasni. 2013. Pengaruh Tingkat Profitabilitas, Struktur Asset, dan
Uji Normalitas (Semua Negara)
One-Sample Kolmogorov-Smirnov Test
480 480 480 480 480 480
.0000000 .0000000 .0000000 .0000000 .0000000 .0000000 .29264456 .23348339 .14081680 .13595653 .09291627 .08183754
.123 .159 .138 .113 .150 .119
.123 .150 .138 .113 .150 .119
-.107 -.159 -.101 -.084 -.124 -.080
N
Mean
Std. Deviation Normal Parametersa,b
Absolute Positive Negative Most Extreme
Differences
Unstandardize d Residual
Unstandardize d Residual
Unstandardize d Residual
Unstandardize d Residual
Unstandardize d Residual
Uji Multikolinearitas (Semua Negara)
Variables Entered/Removedb
CG, IR, PROFIT, RISIKO, LIKUIDITA S, TANG, GO, SMD, EG, UP, NDTS, KHSa
. Enter
Model 1
Variables Entered
Variables
Removed Method
All requested variables entered. a.
Dependent Variable: DTA b.
Coefficientsa
.681 1.468
.816 1.225
.985 1.015
.992 1.008
.825 1.212
.782 1.279
.985 1.015
.217 4.615
.875 1.143
.238 4.210
.629 1.591
.951 1.052
NDTS TANG PROFIT RISIKO UP GO
LIKUIDITAS KHS SMD EG IR CG Model 1
Tolerance VIF
Collinearity Statistics
Uji Multikolinearitas (Semua Negara)
Variables Entered/Removedb
CG, IR, PROFIT, RISIKO, LIKUIDITA S, TANG, GO, SMD, EG, UP, NDTS, KHSa
. Enter
Model 1
Variables Entered
Variables
Removed Method
All requested variables entered. a.
Dependent Variable: LDTA b.
Coefficientsa
.681 1.468
.816 1.225
.985 1.015
.992 1.008
.825 1.212
.782 1.279
.985 1.015
.217 4.615
NDTS TANG PROFIT RISIKO UP GO
LIKUIDITAS KHS Model
1
Tolerance VIF
Uji Multikolinearitas (Semua Negara)
Variables Entered/Removedb
CG, IR, PROFIT, RISIKO, LIKUIDITA S, TANG, GO, SMD, EG, UP, NDTS, KHSa
. Enter
Model 1
Variables Entered
Variables
Removed Method
All requested variables entered. a.
Dependent Variable: SDTA b.
Coefficientsa
.681 1.468
.816 1.225
.985 1.015
.992 1.008
.825 1.212
.782 1.279
.985 1.015
.217 4.615
.875 1.143
.238 4.210
.629 1.591
.951 1.052
NDTS TANG PROFIT RISIKO UP GO
LIKUIDITAS KHS SMD EG IR CG Model 1
Tolerance VIF
Collinearity Statistics
Uji Multikolinearitas (Semua Negara)
Variables Entered/Removedb
CG, IR, PROFIT, RISIKO, LIKUIDITA S, TANG, GO, SMD, EG, UP, NDTS, KHSa
. Enter
Model 1
Variables Entered
Variables
Removed Method
All requested variables entered. a.
Dependent Variable: TDTDE b.
Coefficientsa
.681 1.468
.816 1.225
.985 1.015
.992 1.008
.825 1.212
.782 1.279
.985 1.015
.217 4.615
NDTS TANG PROFIT RISIKO UP GO
LIKUIDITAS KHS Model
1
Tolerance VIF
Uji Multikolinearitas (Semua Negara)
Variables Entered/Removedb
CG, IR, PROFIT, RISIKO, LIKUIDITA S, TANG, GO, SMD, EG, UP, NDTS, KHSa
. Enter
Model 1
Variables Entered
Variables
Removed Method
All requested variables entered. a.
Dependent Variable: LDTDE b.
Coefficientsa
.681 1.468
.816 1.225
.985 1.015
.992 1.008
.825 1.212
.782 1.279
.985 1.015
.217 4.615
.875 1.143
.238 4.210
.629 1.591
.951 1.052
NDTS TANG PROFIT RISIKO UP GO
LIKUIDITAS KHS SMD EG IR CG Model 1
Tolerance VIF
Collinearity Statistics
Uji Multikolinearitas (Semua Negara)
Variables Entered/Removedb
CG, IR, PROFIT, RISIKO, LIKUIDITA S, TANG, GO, SMD, EG, UP, NDTS, KHSa
. Enter
Model 1
Variables Entered
Variables
Removed Method
All requested variables entered. a.
Dependent Variable: SDTDE b.
Coefficientsa
.681 1.468
.816 1.225
.985 1.015
.992 1.008
.825 1.212
.782 1.279
.985 1.015
.217 4.615
NDTS TANG PROFIT RISIKO UP GO
LIKUIDITAS KHS Model
1
Tolerance VIF
Uji Heteroskedastisitas (Semua Negara)
Regression Standardized Predicted Value
7.5 5.0
2.5 0.0
-2.5
R
e
g
re
s
s
io
n
S
tu
d
e
n
ti
z
e
d
R
e
s
id
u
a
l
10
5
0
-5
Scatterplot
Uji Heteroskedastisitas (Semua Negara)
e
g
re
s
s
io
n
S
tu
d
e
n
ti
z
e
d
R
e
s
id
u
a
l
15
10
5
0
Scatterplot
Uji Heteroskedastisitas (Semua Negara)
Regression Standardized Predicted Value
5 0
-5 -10
-15
R
e
g
re
s
s
io
n
S
tu
d
e
n
ti
z
e
d
R
e
s
id
u
a
l 5.0
2.5
0.0
-2.5
-5.0
Scatterplot
Uji Heteroskedastisitas (Semua Negara)
e
g
re
s
s
io
n
S
tu
d
e
n
ti
z
e
d
R
e
s
id
u
a
l
6
4
2
0
-2
Scatterplot
Uji Heteroskedastisitas (Semua Negara)
Regression Standardized Predicted Value
4 2
0 -2
-4
R
e
g
re
s
s
io
n
S
tu
d
e
n
ti
z
e
d
R
e
s
id
u
a
l 5.0
2.5
0.0
-2.5
-5.0
Scatterplot
Uji Heteroskedastisitas (Semua Negara)
e
g
re
s
s
io
n
S
tu
d
e
n
ti
z
e
d
R
e
s
id
u
a
l
4
2
0
-2
Scatterplot
Uji Autokorelasi (Semua Negara)
Variables Entered/Removedb
CG, IR, PROFIT, RISIKO, LIKUIDITA S, TANG, GO, SMD, EG, UP, NDTS, KHSa
. Enter Model 1 Variables Entered Variables Removed Method
All requested variables entered. a.
Dependent Variable: DTA b.
Model Summaryb
.302a .091 .068 .29638 1.943
Model 1
R R Square
Adjusted R Square
Std. Error of
the Estimate Durbin-Watson
Predictors: (Constant), CG, IR, PROFIT, RISIKO, LIKUIDITAS, TANG, GO, SMD, EG, UP, NDTS, KHS
a.
Dependent Variable: DTA b.
ANOVAb
4.127 12 .344 3.916 .000a
41.022 467 .088
45.149 479 Regression Residual Total Model 1 Sum of
Squares df Mean Square F Sig.
Predictors: (Constant), CG, IR, PROFIT, RISIKO, LIKUIDITAS, TANG, GO, SMD, EG, UP, NDTS, KHS
a.
Dependent Variable: DTA b.
Coefficientsa
-.179 .334 -.538 .591
.383 .109 .187 3.498 .001
.070 .051 .068 1.384 .167
.000 .003 -.003 -.065 .948
6.44E-006 .001 .000 .008 .993
.002 .003 .026 .537 .592
-.194 .282 -.034 -.688 .492
-.001 .001 -.046 -1.045 .296
-.117 .111 -.100 -1.051 .294
.034 .014 .117 2.483 .013
.022 .091 .022 .244 .807
-.031 .006 -.279 -5.008 .000
.002 .001 .068 1.512 .131
(Constant) NDTS TANG PROFIT RISIKO UP GO LIKUIDITAS KHS SMD EG IR CG Model 1
B Std. Error
Unstandardized Coefficients Beta Standardized Coefficients t Sig.
Uji Autokorelasi (Semua Negara)
Variables Entered/Removedb
CG, IR, PROFIT, RISIKO, LIKUIDITA S, TANG, GO, SMD, EG, UP, NDTS, KHSa
. Enter
Model 1
Variables Entered
Variables
Removed Method
All requested variables entered. a.
Dependent Variable: LDTA b.
Model Summaryb
.291a .085 .061 .23646 1.961
Model 1
R R Square
Adjusted R Square
Std. Error of
the Estimate Durbin-Watson
Predictors: (Constant), CG, IR, PROFIT, RISIKO, LIKUIDITAS, TANG, GO, SMD, EG, UP, NDTS, KHS
a.
Dependent Variable: LDTA b.
ANOVAb
2.411 12 .201 3.593 .000a
26.112 467 .056
28.523 479
Regression Residual Total Model
1
Sum of
Squares df Mean Square F Sig.
Predictors: (Constant), CG, IR, PROFIT, RISIKO, LIKUIDITAS, TANG, GO, SMD, EG, UP, NDTS, KHS
a.
Dependent Variable: LDTA b.
Coefficientsa
-.739 .266 -2.778 .006
.199 .087 .122 2.276 .023
.112 .041 .135 2.754 .006
.001 .003 .024 .540 .589
.000 .001 .026 .593 .553
.006 .003 .113 2.319 .021
-.114 .225 -.025 -.508 .611
.000 .001 -.013 -.281 .779
-.075 .089 -.080 -.845 .398
(Constant) NDTS TANG PROFIT RISIKO UP GO
LIKUIDITAS KHS Model
1
B Std. Error
Unstandardized Coefficients
Beta Standardized
Coefficients
Uji Autokorelasi (Semua Negara)
Variables Entered/Removedb
CG, IR, PROFIT, RISIKO, LIKUIDITA S, TANG, GO, SMD, EG, UP, NDTS, KHSa
. Enter Model 1 Variables Entered Variables Removed Method
All requested variables entered. a.
Dependent Variable: SDTA b.
Model Summaryb
.277a .077 .053 .14261 1.726
Model 1
R R Square
Adjusted R Square
Std. Error of
the Estimate Durbin-Watson
Predictors: (Constant), CG, IR, PROFIT, RISIKO, LIKUIDITAS, TANG, GO, SMD, EG, UP, NDTS, KHS
a.
Dependent Variable: SDTA b.
ANOVAb
.787 12 .066 3.226 .000a
9.498 467 .020
10.286 479 Regression Residual Total Model 1 Sum of
Squares df Mean Square F Sig.
Predictors: (Constant), CG, IR, PROFIT, RISIKO, LIKUIDITAS, TANG, GO, SMD, EG, UP, NDTS, KHS
a.
Dependent Variable: SDTA b.
Coefficientsa
.405 .161 2.522 .012
.040 .053 .041 .764 .445
-.052 .024 -.104 -2.115 .035
.000 .002 -.011 -.236 .813
-7.95E-005 .000 -.010 -.216 .829
-.003 .002 -.102 -2.079 .038
-.070 .135 -.026 -.515 .607
-.002 .000 -.214 -4.776 .000
-.053 .054 -.094 -.984 .326
-.005 .006 -.038 -.798 .425
.062 .044 .128 1.399 .163
.004 .003 .082 1.458 .145
.001 .000 .067 1.480 .140
(Constant) NDTS TANG PROFIT RISIKO UP GO LIKUIDITAS KHS SMD EG IR CG Model 1
B Std. Error
Unstandardized Coefficients Beta Standardized Coefficients t Sig.
Uji Autokorelasi (Semua Negara)
Variables Entered/Removedb
CG, IR, PROFIT, RISIKO, LIKUIDITA S, TANG, GO, SMD, EG, UP, NDTS, KHSa
. Enter
Model 1
Variables Entered
Variables
Removed Method
All requested variables entered. a.
Dependent Variable: TDTDE b.
Model Summaryb
.901a .812 .807 .13769 1.868
Model 1
R R Square
Adjusted R Square
Std. Error of
the Estimate Durbin-Watson
Predictors: (Constant), CG, IR, PROFIT, RISIKO, LIKUIDITAS, TANG, GO, SMD, EG, UP, NDTS, KHS
a.
Dependent Variable: TDTDE b.
ANOVAb
38.274 12 3.190 168.231 .000a
8.854 467 .019
47.128 479
Regression Residual Total Model
1
Sum of
Squares df Mean Square F Sig.
Predictors: (Constant), CG, IR, PROFIT, RISIKO, LIKUIDITAS, TANG, GO, SMD, EG, UP, NDTS, KHS
a.
Dependent Variable: TDTDE b.
Coefficientsa
-.909 .155 -5.866 .000
.129 .051 .061 2.529 .012
-.060 .024 -.056 -2.537 .012
.003 .002 .042 2.069 .039
-7.08E-005 .000 -.004 -.199 .842
.061 .002 .846 38.313 .000
.000 .131 .000 .002 .998
.000 .000 .008 .392 .695
-.004 .052 -.003 -.071 .944
(Constant) NDTS TANG PROFIT RISIKO UP GO
LIKUIDITAS KHS Model
1
B Std. Error
Unstandardized Coefficients
Beta Standardized
Coefficients
Uji Autokorelasi (Semua Negara)
Variables Entered/Removedb
CG, IR, PROFIT, RISIKO, LIKUIDITA S, TANG, GO, SMD, EG, UP, NDTS, KHSa
. Enter Model 1 Variables Entered Variables Removed Method
All requested variables entered. a.
Dependent Variable: LDTDE b.
Model Summaryb
.800a .640 .631 .09410 2.026
Model 1
R R Square
Adjusted R Square
Std. Error of
the Estimate Durbin-Watson
Predictors: (Constant), CG, IR, PROFIT, RISIKO, LIKUIDITAS, TANG, GO, SMD, EG, UP, NDTS, KHS
a.
Dependent Variable: LDTDE b.
ANOVAb
7.355 12 .613 69.211 .000a
4.135 467 .009
11.490 479 Regression Residual Total Model 1 Sum of
Squares df Mean Square F Sig.
Predictors: (Constant), CG, IR, PROFIT, RISIKO, LIKUIDITAS, TANG, GO, SMD, EG, UP, NDTS, KHS
a.
Dependent Variable: LDTDE b.
Coefficientsa
-.493 .106 -4.652 .000
.071 .035 .069 2.047 .041
-.031 .016 -.058 -1.900 .058
.001 .001 .036 1.281 .201
-1.47E-005 .000 -.002 -.061 .952
.028 .001 .800 26.175 .000
.007 .089 .002 .074 .941
9.85E-005 .000 .010 .358 .721
.008 .035 .014 .239 .811
-.007 .004 -.048 -1.629 .104
-.008 .029 -.015 -.262 .793
.001 .002 .016 .444 .657
-.001 .000 -.067 -2.370 .018
(Constant) NDTS TANG PROFIT RISIKO UP GO LIKUIDITAS KHS SMD EG IR CG Model 1
B Std. Error
Unstandardized Coefficients Beta Standardized Coefficients t Sig.
Uji Autokorelasi (Semua Negara)
Variables Entered/Removedb
CG, IR, PROFIT, RISIKO, LIKUIDITA S, TANG, GO, SMD, EG, UP, NDTS, KHSa
. Enter
Model 1
Variables Entered
Variables
Removed Method
All requested variables entered. a.
Dependent Variable: SDTDE b.
Model Summaryb
.825a .681 .673 .08288 1.501
Model 1
R R Square
Adjusted R Square
Std. Error of
the Estimate Durbin-Watson
Predictors: (Constant), CG, IR, PROFIT, RISIKO, LIKUIDITAS, TANG, GO, SMD, EG, UP, NDTS, KHS
a.
Dependent Variable: SDTDE b.
ANOVAb
6.859 12 .572 83.201 .000a
3.208 467 .007
10.067 479
Regression Residual Total Model
1
Sum of
Squares df Mean Square F Sig.
Predictors: (Constant), CG, IR, PROFIT, RISIKO, LIKUIDITAS, TANG, GO, SMD, EG, UP, NDTS, KHS
a.
Dependent Variable: SDTDE b.
Coefficientsa
-.244 .093 -2.619 .009
.024 .031 .025 .790 .430
-.028 .014 -.056 -1.942 .053
.001 .001 .037 1.387 .166
1.37E-006 .000 .000 .006 .995
.020 .001 .595 20.700 .000
.048 .079 .018 .609 .543
.000 .000 -.020 -.759 .448
-.007 .031 -.012 -.214 .830
(Constant) NDTS TANG PROFIT RISIKO UP GO
LIKUIDITAS KHS Model
1
B Std. Error
Unstandardized Coefficients
Beta Standardized
Coefficients
Regression (Semua Negara)
Variables Entered/Removedb
CG, IR, PROFIT, RISIKO, LIKUIDITA S, TANG, GO, SMD, EG, UP, NDTS, KHSa
. Enter Model 1 Variables Entered Variables Removed Method
All requested variables entered. a.
Dependent Variable: DTA b.
Model Summary
.302a .091 .068 .29638
Model 1
R R Square
Adjusted R Square
Std. Error of the Estimate
Predictors: (Constant), CG, IR, PROFIT, RISIKO, LIKUIDITAS, TANG, GO, SMD, EG, UP, NDTS, KHS a.
ANOVAb
4.127 12 .344 3.916 .000a
41.022 467 .088
45.149 479 Regression Residual Total Model 1 Sum of
Squares df Mean Square F Sig.
Predictors: (Constant), CG, IR, PROFIT, RISIKO, LIKUIDITAS, TANG, GO, SMD, EG, UP, NDTS, KHS
a.
Dependent Variable: DTA b.
Coefficientsa
-.179 .334 -.538 .591
.383 .109 .187 3.498 .001
.070 .051 .068 1.384 .167
.000 .003 -.003 -.065 .948
6.44E-006 .001 .000 .008 .993
.002 .003 .026 .537 .592
-.194 .282 -.034 -.688 .492
-.001 .001 -.046 -1.045 .296
-.117 .111 -.100 -1.051 .294
.034 .014 .117 2.483 .013
.022 .091 .022 .244 .807
-.031 .006 -.279 -5.008 .000
.002 .001 .068 1.512 .131
(Constant) NDTS TANG PROFIT RISIKO UP GO LIKUIDITAS KHS SMD EG IR CG Model 1
B Std. Error
Unstandardized Coefficients Beta Standardized Coefficients t Sig.
Regression (Semua Negara)
Variables Entered/Removedb
CG, IR, PROFIT, RISIKO, LIKUIDITA S, TANG, GO, SMD, EG, UP, NDTS, KHSa
. Enter
Model 1
Variables Entered
Variables
Removed Method
All requested variables entered. a.
Dependent Variable: LDTA b.
Model Summary
.291a .085 .061 .23646
Model 1
R R Square
Adjusted R Square
Std. Error of the Estimate
Predictors: (Constant), CG, IR, PROFIT, RISIKO, LIKUIDITAS, TANG, GO, SMD, EG, UP, NDTS, KHS a.
ANOVAb
2.411 12 .201 3.593 .000a
26.112 467 .056
28.523 479
Regression Residual Total Model
1
Sum of
Squares df Mean Square F Sig.
Predictors: (Constant), CG, IR, PROFIT, RISIKO, LIKUIDITAS, TANG, GO, SMD, EG, UP, NDTS, KHS
a.
Dependent Variable: LDTA b.
Coefficientsa
-.739 .266 -2.778 .006
.199 .087 .122 2.276 .023
.112 .041 .135 2.754 .006
.001 .003 .024 .540 .589
.000 .001 .026 .593 .553
.006 .003 .113 2.319 .021
-.114 .225 -.025 -.508 .611
.000 .001 -.013 -.281 .779
-.075 .089 -.080 -.845 .398
(Constant) NDTS TANG PROFIT RISIKO UP GO
LIKUIDITAS KHS Model
1
B Std. Error
Unstandardized Coefficients
Beta Standardized
Coefficients
Regression (Semua Negara)
Variables Entered/Removedb
CG, IR, PROFIT, RISIKO, LIKUIDITA S, TANG, GO, SMD, EG, UP, NDTS, KHSa
. Enter Model 1 Variables Entered Variables Removed Method
All requested variables entered. a.
Dependent Variable: SDTA b.
Model Summary
.277a .077 .053 .14261
Model 1
R R Square
Adjusted R Square
Std. Error of the Estimate
Predictors: (Constant), CG, IR, PROFIT, RISIKO, LIKUIDITAS, TANG, GO, SMD, EG, UP, NDTS, KHS a.
ANOVAb
.787 12 .066 3.226 .000a
9.498 467 .020
10.286 479 Regression Residual Total Model 1 Sum of
Squares df Mean Square F Sig.
Predictors: (Constant), CG, IR, PROFIT, RISIKO, LIKUIDITAS, TANG, GO, SMD, EG, UP, NDTS, KHS
a.
Dependent Variable: SDTA b.
Coefficientsa
.405 .161 2.522 .012
.040 .053 .041 .764 .445
-.052 .024 -.104 -2.115 .035
.000 .002 -.011 -.236 .813
-7.95E-005 .000 -.010 -.216 .829
-.003 .002 -.102 -2.079 .038
-.070 .135 -.026 -.515 .607
-.002 .000 -.214 -4.776 .000
-.053 .054 -.094 -.984 .326
-.005 .006 -.038 -.798 .425
.062 .044 .128 1.399 .163
.004 .003 .082 1.458 .145
.001 .000 .067 1.480 .140
(Constant) NDTS TANG PROFIT RISIKO UP GO LIKUIDITAS KHS SMD EG IR CG Model 1
B Std. Error
Unstandardized Coefficients Beta Standardized Coefficients t Sig.
Regression (Semua Negara)
Variables Entered/Removedb
CG, IR, PROFIT, RISIKO, LIKUIDITA S, TANG, GO, SMD, EG, UP, NDTS, KHSa
. Enter
Model 1
Variables Entered
Variables
Removed Method
All requested variables entered. a.
Dependent Variable: TDTDE b.
Model Summary
.901a .812 .807 .13769
Model 1
R R Square
Adjusted R Square
Std. Error of the Estimate
Predictors: (Constant), CG, IR, PROFIT, RISIKO, LIKUIDITAS, TANG, GO, SMD, EG, UP, NDTS, KHS a.
ANOVAb
38.274 12 3.190 168.231 .000a
8.854 467 .019
47.128 479
Regression Residual Total Model
1
Sum of
Squares df Mean Square F Sig.
Predictors: (Constant), CG, IR, PROFIT, RISIKO, LIKUIDITAS, TANG, GO, SMD, EG, UP, NDTS, KHS
a.
Dependent Variable: TDTDE b.
Coefficientsa
-.909 .155 -5.866 .000
.129 .051 .061 2.529 .012
-.060 .024 -.056 -2.537 .012
.003 .002 .042 2.069 .039
-7.08E-005 .000 -.004 -.199 .842
.061 .002 .846 38.313 .000
.000 .131 .000 .002 .998
.000 .000 .008 .392 .695
-.004 .052 -.003 -.071 .944
(Constant) NDTS TANG PROFIT RISIKO UP GO
LIKUIDITAS KHS Model
1
B Std. Error
Unstandardized Coefficients
Beta Standardized
Coefficients
Regression (Semua Negara)
Variables Entered/Removedb
CG, IR, PROFIT, RISIKO, LIKUIDITA S, TANG, GO, SMD, EG, UP, NDTS, KHSa
. Enter Model 1 Variables Entered Variables Removed Method
All requested variables entered. a.
Dependent Variable: LDTDE b.
Model Summary
.800a .640 .631 .09410
Model 1
R R Square
Adjusted R Square
Std. Error of the Estimate
Predictors: (Constant), CG, IR, PROFIT, RISIKO, LIKUIDITAS, TANG, GO, SMD, EG, UP, NDTS, KHS a.
ANOVAb
7.355 12 .613 69.211 .000a
4.135 467 .009
11.490 479 Regression Residual Total Model 1 Sum of
Squares df Mean Square F Sig.
Predictors: (Constant), CG, IR, PROFIT, RISIKO, LIKUIDITAS, TANG, GO, SMD, EG, UP, NDTS, KHS
a.
Dependent Variable: LDTDE b.
Coefficientsa
-.493 .106 -4.652 .000
.071 .035 .069 2.047 .041
-.031 .016 -.058 -1.900 .058
.001 .001 .036 1.281 .201
-1.47E-005 .000 -.002 -.061 .952
.028 .001 .800 26.175 .000
.007 .089 .002 .074 .941
9.85E-005 .000 .010 .358 .721
.008 .035 .014 .239 .811
-.007 .004 -.048 -1.629 .104
-.008 .029 -.015 -.262 .793
.001 .002 .016 .444 .657
-.001 .000 -.067 -2.370 .018
(Constant) NDTS TANG PROFIT RISIKO UP GO LIKUIDITAS KHS SMD EG IR CG Model 1
B Std. Error
Unstandardized Coefficients Beta Standardized Coefficients t Sig.
Regression (Semua Negara)
Variables Entered/Removedb
CG, IR, PROFIT, RISIKO, LIKUIDITA S, TANG, GO, SMD, EG, UP, NDTS, KHSa
. Enter
Model 1
Variables Entered
Variables
Removed Method
All requested variables entered. a.
Dependent Variable: SDTDE b.
Model Summary
.825a .681 .673 .08288
Model 1
R R Square
Adjusted R Square
Std. Error of the Estimate
Predictors: (Constant), CG, IR, PROFIT, RISIKO, LIKUIDITAS, TANG, GO, SMD, EG, UP, NDTS, KHS a.
ANOVAb
6.859 12 .572 83.201 .000a
3.208 467 .007
10.067 479
Regression Residual Total Model
1
Sum of
Squares df Mean Square F Sig.
Predictors: (Constant), CG, IR, PROFIT, RISIKO, LIKUIDITAS, TANG, GO, SMD, EG, UP, NDTS, KHS
a.
Dependent Variable: SDTDE b.
Coefficientsa
-.244 .093 -2.619 .009
.024 .031 .025 .790 .430
-.028 .014 -.056 -1.942 .053
.001 .001 .037 1.387 .166
1.37E-006 .000 .000 .006 .995
.020 .001 .595 20.700 .000
.048 .079 .018 .609 .543
.000 .000 -.020 -.759 .448
-.007 .031 -.012 -.214 .830
(Constant) NDTS TANG PROFIT RISIKO UP GO
LIKUIDITAS KHS Model
1
B Std. Error
Unstandardized Coefficients
Beta Standardized
Coefficients
Uji Normalitas (Indonesia)
One-Sample Kolmogorov-Smirnov Test
85 85 85 85 85 85
.0000000 .0000000 .0000000 .0000000 .0000000 .0000000 .14392728 .09419288 .08215470 .13469012 .11116265 .09692249
.093 .124 .079 .109 .056 .087
.072 .124 .079 .063 .056 .087
-.093 -.071 -.046 -.109 -.045 -.044
.857 1.147 .729 1.005 .514 .798
.454 .144 .662 .265 .954 .548
N
Mean
Std. Deviation Normal Parametersa,b
Absolute Positive Negative Most Extreme
Differences
Kolmogorov-Smirnov Z Asymp. Sig. (2-tailed)
Unstandardize d Residual
Unstandardize d Residual
Unstandardize d Residual
Unstandardize d Residual
Unstandardize d Residual
Unstandardize d Residual
Test distribution is Normal. a.
Uji Multikolinearitas (Indonesia)
Variables Entered/Removedb
CG, TANG, PROFIT, RISIKO, LIKUIDITA S, UP, GO, SMD, KHS, NDTSa
. Enter
Model 1
Variables Entered
Variables
Removed Method
All requested variables entered. a.
Dependent Variable: DTA b.
Coefficientsa
.433 2.307
.520 1.925
.803 1.245
.807 1.239
.660 1.514
.660 1.515
NDTS TANG PROFIT RISIKO UP GO Model 1
Tolerance VIF
Uji Multikolinearitas (Indonesia)
Variables Entered/Removedb
CG, TANG, PROFIT, RISIKO, LIKUIDITA S, UP, GO, SMD, KHS, NDTSa
. Enter
Model 1
Variables Entered
Variables
Removed Method
All requested variables entered. a.
Dependent Variable: LDTA b.
Coefficientsa
.433 2.307
.520 1.925
.803 1.245
.807 1.239
.660 1.514
.660 1.515
.769 1.301
.597 1.676
.626 1.598
.614 1.628
NDTS TANG PROFIT RISIKO UP GO
LIKUIDITAS KHS SMD CG Model 1
Tolerance VIF
Collinearity Statistics
Uji Multikolinearitas (Indonesia)
Variables Entered/Removedb
CG, TANG, PROFIT, RISIKO, LIKUIDITA S, UP, GO, SMD, KHS, NDTSa
. Enter
Model 1
Variables Entered
Variables
Removed Method
All requested variables entered. a.
Dependent Variable: SDTA b.
Coefficientsa
.433 2.307
.520 1.925
.803 1.245
.807 1.239
.660 1.514
.660 1.515
NDTS TANG PROFIT RISIKO UP GO Model 1
Tolerance VIF
Uji Multikolinearitas (Indonesia)
Variables Entered/Removedb
CG, TANG, PROFIT, RISIKO, LIKUIDITA S, UP, GO, SMD, KHS, NDTSa
. Enter
Model 1
Variables Entered
Variables
Removed Method
All requested variables entered. a.
Dependent Variable: TDTDE b.
Coefficientsa
.433 2.307
.520 1.925
.803 1.245
.807 1.239
.660 1.514
.660 1.515
.769 1.301
.597 1.676
.626 1.598
.614 1.628
NDTS TANG PROFIT RISIKO UP GO
LIKUIDITAS KHS SMD CG Model 1
Tolerance VIF
Collinearity Statistics
Uji Multikolinearitas (Indonesia)
Variables Entered/Removedb
CG, TANG, PROFIT, RISIKO, LIKUIDITA S, UP, GO, SMD, KHS, NDTSa
. Enter
Model 1
Variables Entered
Variables
Removed Method
All requested variables entered. a.
Dependent Variable: LDTDE b.
Coefficientsa
.433 2.307
.520 1.925
.803 1.245
.807 1.239
.660 1.514
.660 1.515
NDTS TANG PROFIT RISIKO UP GO Model 1
Tolerance VIF
Uji Multikolinearitas (Indonesia)
Variables Entered/Removedb
CG, TANG, PROFIT, RISIKO, LIKUIDITA S, UP, GO, SMD, KHS, NDTSa
. Enter
Model 1
Variables Entered
Variables
Removed Method
All requested variables entered. a.
Dependent Variable: SDTDE b.
Coefficientsa
.433 2.307
.520 1.925
.803 1.245
.807 1.239
.660 1.514
.660 1.515
.769 1.301
.597 1.676
.626 1.598
.614 1.628
NDTS TANG PROFIT RISIKO UP GO
LIKUIDITAS KHS SMD CG Model 1
Tolerance VIF
Collinearity Statistics
Uji Heteroskedastisitas (Indonesia)
e
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Uji Heteroskedastisitas (Indonesia)
Regression Standardized Predicted Value
3 2
1 0
-1 -2
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Scatterplot
Uji Heteroskedastisitas (Indonesia)
e
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Scatterplot
Uji Heteroskedastisitas (Indonesia)
Regression Standardized Predicted Value
2 1
0 -1
-2 -3
R
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Scatterplot
Uji Heteroskedastisitas (Indonesia)
e
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Scatterplot
Uji Heteroskedastisitas (Indonesia)
Regression Standardized Predicted Value
2 1
0 -1
-2 -3
R
e
g
re
s
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S
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Scatterplot
Uji Autokorelasi (Indonesia)
Variables Entered/Removedb
CG, TANG, PROFIT, RISIKO, LIKUIDITA S, UP, GO, SMD, KHS, NDTSa
. Enter
Model 1
Variables Entered
Variables
Removed Method
All requested variables entered. a.
Dependent Variable: DTA b.
Model Summaryb
.578a .334 .243 .15394 2.402
Model 1
R R Square
Adjusted R Square
Std. Error of
the Estimate Durbin-Watson
Predictors: (Constant), CG, TANG, PROFIT, RISIKO, LIKUIDITAS, UP, GO, SMD, KHS, NDTS a.
Dependent Variable: DTA b.
ANOVAb
.878 10 .088 3.703 .000a
1.754 74 .024
2.631 84
Regression Residual Total Model
1
Sum of
Squares df Mean Square F Sig.
Predictors: (Constant), CG, TANG, PROFIT, RISIKO, LIKUIDITAS, UP, GO, SMD, KHS, NDTS a.
Dependent Variable: DTA b.
Coefficientsa
-1.380 .476 -2.903 .005
.210 .083 .363 2.516 .014
-.031 .055 -.075 -.566 .573
-.055 .128 -.045 -.427 .671
.023 .020 .121 1.145 .256
.003 .006 .058 .500 .618
.318 .662 .056 .480 .633
(Constant) NDTS TANG PROFIT RISIKO UP GO Model 1
B Std. Error
Unstandardized Coefficients
Beta Standardized
Coefficients
Uji Autokorelasi (Indonesia)
Variables Entered/Removedb
CG, TANG, PROFIT, RISIKO, LIKUIDITA S, UP, GO, SMD, KHS, NDTSa
. Enter
Model 1
Variables Entered
Variables
Removed Method
All requested variables entered. a.
Dependent Variable: LDTA b.
Model Summaryb
.640a .410 .330 .10124 2.356
Model 1
R R Square
Adjusted R Square
Std. Error of
the Estimate Durbin-Watson
Predictors: (Constant), CG, TANG, PROFIT, RISIKO, LIKUIDITAS, UP, GO, SMD, KHS, NDTS a.
Dependent Variable: LDTA b.
ANOVAb
.527 10 .053 5.142 .000a
.759 74 .010
1.286 84
Regression Residual Total Model
1
Sum of
Squares df Mean Square F Sig.
Predictors: (Constant), CG, TANG, PROFIT, RISIKO, LIKUIDITAS, UP, GO, SMD, KHS, NDTS a.
Dependent Variable: LDTA b.
Coefficientsa
-.872 .313 -2.788 .007
.059 .055 .145 1.071 .288
-.019 .036 -.067 -.539 .591
-.314 .084 -.371 -3.729 .000
.032 .013 .244 2.452 .017
-.002 .004 -.049 -.443 .659
-.099 .435 -.025 -.226 .821
-.008 .008 -.097 -.955 .343
-.004 .044 -.010 -.083 .934
.045 .013 .381 3.373 .001
.205 .508 .046 .405 .687
(Constant) NDTS TANG PROFIT RISIKO UP GO
LIKUIDITAS KHS SMD CG Model 1
B Std. Error
Unstandardized Coefficients
Beta Standardized
Coefficients
t Sig.
Uji Autokorelasi (Indonesia)
Variables Entered/Removedb
CG, TANG, PROFIT, RISIKO, LIKUIDITA S, UP, GO, SMD, KHS, NDTSa
. Enter
Model 1
Variables Entered
Variables
Removed Method
All requested variables entered. a.
Dependent Variable: SDTA b.
Model Summaryb
.669a .448 .373 .08756 1.779
Model 1
R R Square
Adjusted R Square
Std. Error of
the Estimate Durbin-Watson
Predictors: (Constant), CG, TANG, PROFIT, RISIKO, LIKUIDITAS, UP, GO, SMD, KHS, NDTS a.
Dependent Variable: SDTA b.
ANOVAb
.460 10 .046 5.998 .000a
.567 74 .008
1.027 84
Regression Residual Total Model
1
Sum of
Squares df Mean Square F Sig.
Predictors: (Constant), CG, TANG, PROFIT, RISIKO, LIKUIDITAS, UP, GO, SMD, KHS, NDTS a.
Dependent Variable: SDTA b.
Coefficientsa
-.232 .270 -.859 .393
.019 .047 .052 .398 .692
-.011 .031 -.042 -.349 .728
.379 .073 .501 5.203 .000
-.017 .011 -.149 -1.546 .126
.004 .003 .126 1.181 .241
.276 .377 .078 .734 .466
(Constant) NDTS TANG PROFIT RISIKO UP GO Model 1
B Std. Error
Unstandardized Coefficients
Beta Standardized
Coefficients
Uji Autokorelasi (Indonesia)
Variables Entered/Removedb
CG, TANG, PROFIT, RISIKO, LIKUIDITA S, UP, GO, SMD, KHS, NDTSa
. Enter
Model 1
Variables Entered
Variables
Removed Method
All requested variables entered. a.
Dependent Variable: TDTDE b.
Model Summaryb
.897a .805 .778 .14405 1.892
Model 1
R R Square
Adjusted R Square
Std. Error of
the Estimate Durbin-Watson
Predictors: (Constant), CG, TANG, PROFIT, RISIKO, LIKUIDITAS, UP, GO, SMD, KHS, NDTS a.
Dependent Variable: TDTDE b.
ANOVAb
6.321 10 .632 30.463 .000a
1.535 74 .021
7.856 84
Regression Residual Total Model
1
Sum of
Squares df Mean Square F Sig.
Predictors: (Constant), CG, TANG, PROFIT, RISIKO, LIKUIDITAS, UP, GO, SMD, KHS, NDTS a.
Dependent Variable: TDTDE b.
Coefficientsa
.494 .445 1.109 .271
.277 .078 .278 3.556 .001
-.053 .051 -.074 -1.041 .301
-.174 .120 -.083 -1.449 .152
.015 .018 .046 .796 .429
.080 .005 .972 15.371 .000
.518 .620 .053 .836 .406
-.031 .011 -.162 -2.759 .007
.093 .063 .098 1.472 .145
-.091 .019 -.312 -4.807 .000
1.018 .722 .092 1.409 .163
(Constant) NDTS TANG PROFIT RISIKO UP GO
LIKUIDITAS KHS SMD CG Model 1
B Std. Error
Unstandardized Coefficients
Beta Standardized
Coefficients
t Sig.
Uji Autokorelasi (Indonesia)
Variables Entered/Removedb
CG, TANG, PROFIT, RISIKO, LIKUIDITA S, UP, GO, SMD, KHS, NDTSa
. Enter
Model 1
Variables Entered
Variables
Removed Method
All requested variables entered. a.
Dependent Variable: LDTDE b.
Model Summaryb
.696a .485 .415 .12054 2.213
Model 1
R R Square
Adjusted R Square
Std. Error of
the Estimate Durbin-Watson
Predictors: (Constant), CG, TANG, PROFIT, RISIKO, LIKUIDITAS, UP, GO, SMD, KHS, NDTS a.
Dependent Variable: LDTDE b.
ANOVAb
1.011 10 .101 6.957 .000a
1.075 74 .015
2.086 84
Regression Residual Total Model
1
Sum of
Squares df Mean Square F Sig.
Predictors: (Constant), CG, TANG, PROFIT, RISIKO, LIKUIDITAS, UP, GO, SMD, KHS, NDTS a.
Dependent Variable: LDTDE b.
Coefficientsa
.110 .372 .295 .769
.074 .065 .144 1.134 .260
-.014 .043 -.039 -.335 .739
-.298 .100 -.277 -2.971 .004
.036 .015 .218 2.342 .022
.025 .004 .599 5.830 .000
.064 .519 .013 .123 .903
(Constant) NDTS TANG PROFIT RISIKO UP GO Model 1
B Std. Error
Unstandardized Coefficients
Beta Standardized
Coefficients
Uji Autokorelasi (Indonesia)
Variables Entered/Removedb
CG, TANG, PROFIT, RISIKO, LIKUIDITA S, UP, GO, SMD, KHS, NDTSa
. Enter
Model 1
Variables Entered
Variables
Removed Method
All requested variables entered. a.
Dependent Variable: SDTDE b.
Model Summaryb
.866a .751 .717 .10407 2.066
Model 1
R R Square
Adjusted R Square
Std. Error of
the Estimate Durbin-Watson
Predictors: (Constant), CG, TANG, PROFIT, RISIKO, LIKUIDITAS, UP, GO, SMD, KHS, NDTS a.
Dependent Variable: SDTDE b.
ANOVAb
2.415 10 .241 22.296 .000a
.801 74 .011
3.216 84
Regression Residual Total Model
1
Sum of
Squares df Mean Square F Sig.
Predictors: (Constant), CG, TANG, PROFIT, RISIKO, LIKUIDITAS, UP, GO, SMD, KHS, NDTS a.
Dependent Variable: SDTDE b.
Coefficientsa
.402 .321 1.251 .215
.168 .056 .263 2.988 .004
-.017 .037 -.038 -.466 .642
.281 .087 .210 3.241 .002
-.032 .013 -.156 -2.414 .018
.051 .004 .980 13.725 .000
.447 .448 .071 .999 .321
-.022 .008 -.176 -2.663 .010
.083 .045 .136 1.817 .073
-.068 .014 -.362 -4.930 .000
1.007 .522 .143 1.931 .057
(Constant) NDTS TANG PROFIT RISIKO UP GO
LIKUIDITAS KHS SMD CG Model 1
B Std. Error
Unstandardized Coefficients
Beta Standardized
Coefficients
t Sig.
Regression (Indonesia)
Variables Entered/Removedb
CG, TANG, PROFIT, RISIKO, LIKUIDITA S, UP, GO, SMD, KHS, NDTSa
. Enter
Model 1
Variables Entered
Variables
Removed Method
All requested variables entered. a.
Dependent Variable: DTA b.
Model Summary
.578a .334 .243 .15394
Model 1
R R Square
Adjusted R Square
Std. Error of the Estimate
Predictors: (Constant), CG, TANG, PROFIT, RISIKO, LIKUIDITAS, UP, GO, SMD, KHS, NDTS a.
ANOVAb
.878 10 .088 3.703 .000a
1.754 74 .024
2.631 84
Regression Residual Total Model
1
Sum of
Squares df Mean Square F Sig.
Predictors: (Constant), CG, TANG, PROFIT, RISIKO, LIKUIDITAS, UP, GO, SMD, KHS, NDTS a.
Dependent Variable: DTA b.
Coefficientsa
-1.380 .476 -2.903 .005
.210 .083 .363 2.516 .014
-.031 .055 -.075 -.566 .573
-.055 .128 -.045 -.427 .671
.023 .020 .121 1.145 .256
.003 .006 .058 .500 .618
.318 .662 .056 .480 .633
(Constant) NDTS TANG PROFIT RISIKO UP GO Model 1
B Std. Error
Unstandardized Coefficients
Beta Standardized
Coefficients
Regression (Indonesia)
Variables Entered/Removedb
CG, TANG, PROFIT, RISIKO, LIKUIDITA S, UP, GO, SMD, KHS, NDTSa
. Enter
Model 1
Variables Entered
Variables
Removed Method
All requested variables entered. a.
Dependent Variable: LDTA b.
Model Summary
.640a .410 .330 .10124
Model 1
R R Square
Adjusted R Square
Std. Error of the Estimate
Predictors: (Constant), CG, TANG, PROFIT, RISIKO, LIKUIDITAS, UP, GO, SMD, KHS, NDTS a.
ANOVAb
.527 10 .053 5.142 .000a
.759 74 .010
1.286 84
Regression Residual Total Model
1
Sum of
Squares df Mean Square F Sig.
Predictors: (Constant), CG, TANG, PROFIT, RISIKO, LIKUIDITAS, UP, GO, SMD, KHS, NDTS a.
Dependent Variable: LDTA b.
Coefficientsa
-.872 .313 -2.788 .007
.059 .055 .145 1.071 .288
-.019 .036 -.067 -.539 .591
-.314 .084 -.371 -3.729 .000
.032 .013 .244 2.452 .017
-.002 .004 -.049 -.443 .659
-.099 .435 -.025 -.226 .821
-.008 .008 -.097 -.955 .343
-.004 .044 -.010 -.083 .934
.045 .013 .381 3.373 .001
.205 .508 .046 .405 .687
(Constant) NDTS TANG PROFIT RISIKO UP GO
LIKUIDITAS KHS SMD CG Model 1
B Std. Error
Unstandardized Coefficients
Beta Standardized
Coefficients
t Sig.
Regression (Indonesia)
Variables Entered/Removedb
CG, TANG, PROFIT, RISIKO, LIKUIDITA S, UP, GO, SMD, KHS, NDTSa
. Enter
Model 1
Variables Entered
Variables
Removed Method
All requested variables entered. a.
Dependent Variable: SDTA b.
Model Summary
.669a .448 .373 .08756
Model 1
R R Square
Adjusted R Square
Std. Error of the Estimate
Predictors: (Constant), CG, TANG, PROFIT, RISIKO, LIKUIDITAS, UP, GO, SMD, KHS, NDTS a.
ANOVAb
.460 10 .046 5.998 .000a
.567 74 .008
1.027 84
Regression Residual Total Model
1
Sum of
Squares df Mean Square F Sig.
Predictors: (Constant), CG, TANG, PROFIT, RISIKO, LIKUIDITAS, UP, GO, SMD, KHS, NDTS a.
Dependent Variable: SDTA b.
Coefficientsa
-.232 .270 -.859 .393
.019 .047 .052 .398 .692
-.011 .031 -.042 -.349 .728
.379 .073 .501 5.203 .000
-.017 .011 -.149 -1.546 .126
.004 .003 .126 1.181 .241
.276 .377 .078 .734 .466
(Constant) NDTS TANG PROFIT RISIKO UP GO Model 1
B Std. Error
Unstandardized Coefficients
Beta Standardized
Coefficients
Regression (Indonesia)
Variables Entered/Removedb
CG, TANG, PROFIT, RISIKO, LIKUIDITA S, UP, GO, SMD, KHS, NDTSa
. Enter
Model 1
Variables Entered
Variables
Removed Method
All requested variables entered. a.
Dependent Variable: TDTDE b.
Model Summary
.897a .805 .778 .14405
Model 1
R R Square
Adjusted R Square
Std. Error of the Estimate
Predictors: (Constant), CG, TANG, PROFIT, RISIKO, LIKUIDITAS, UP, GO, SMD, KHS, NDTS a.
ANOVAb
6.321 10 .632 30.463 .000a
1.535 74 .021
7.856 84
Regression Residual Total Model
1
Sum of
Squares df Mean Square F Sig.
Predictors: (Constant), CG, TANG, PROFIT, RISIKO, LIKUIDITAS, UP, GO, SMD, KHS, NDTS a.
Dependent Variable: TDTDE b.
Coefficientsa
.494 .445 1.109 .271
.277 .078 .278 3.556 .001
-.053 .051 -.074 -1.041 .301
-.174 .120 -.083 -1.449 .152
.015 .018 .046 .796 .429
.080 .005 .972 15.371 .000
.518 .620 .053 .836 .406
-.031 .011 -.162 -2.759 .007
.093 .063 .098 1.472 .145
-.091 .019 -.312 -4.807 .000
1.018 .722 .092 1.409 .163
(Constant) NDTS TANG PROFIT RISIKO UP GO
LIKUIDITAS KHS SMD CG Model 1
B Std. Error
Unstandardized Coefficients
Beta Standardized
Coefficients
t Sig.
Regression (Indonesia)
Variables Entered/Removedb
CG, TANG, PROFIT, RISIKO, LIKUIDITA S, UP, GO, SMD, KHS, NDTSa
. Enter
Model 1
Variables Entered
Variables
Removed Method
All requested variables entered. a.
Dependent Variable: LDTDE b.
Model Summary
.696a .485 .415 .12054
Model 1
R R Square
Adjusted R Square
Std. Error of the Estimate
Predictors: (Constant), CG, TANG, PROFIT, RISIKO, LIKUIDITAS, UP, GO, SMD, KHS, NDTS a.
ANOVAb
1.011 10 .101 6.957 .000a
1.075 74 .015
2.086 84
Regression Residual Total Model
1
Sum of
Squares df Mean Square F Sig.
Predictors: (Constant), CG, TANG, PROFIT, RISIKO, LIKUIDITAS, UP, GO, SMD, KHS, NDTS a.
Dependent Variable: LDTDE b.
Coefficientsa
.110 .372 .295 .769
.074 .065 .144 1.134 .260
-.014 .043 -.039 -.335 .739
-.298 .100 -.277 -2.971 .004
.036 .015 .218 2.342 .022
.025 .004 .599 5.830 .000
.064 .519 .013 .123 .903
(Constant) NDTS TANG PROFIT RISIKO UP GO Model 1
B Std. Error
Unstandardized Coefficients
Beta Standardized
Coefficients
Regression (Indonesia)
Variables Entered/Removedb
CG, TANG, PROFIT, RISIKO, LIKUIDITA S, UP, GO, SMD, KHS, NDTSa
. Enter
Model 1
Variables Entered
Variables
Removed Method
All requested variables entered. a.
Dependent Variable: SDTDE b.
Model Summary
.866a .751 .717 .10407
Model 1
R R Square
Adjusted R Square
Std. Error of the Estimate
Predictors: (Constant), CG, TANG, PROFIT, RISIKO, LIKUIDITAS, UP, GO, SMD, KHS, NDTS a.
ANOVAb
2.415 10 .241 22.296 .000a
.801 74 .011
3.216 84
Regression Residual Total Model
1
Sum of
Squares df Mean Square F Sig.
Predictors: (Constant), CG, TANG, PROFIT, RISIKO, LIKUIDITAS, UP, GO, SMD, KHS, NDTS a.
Dependent Variable: SDTDE b.
Coefficientsa
.402 .321 1.251 .215
.168 .056 .263 2.988 .004
-.017 .037 -.038 -.466 .642
.281 .087 .210 3.241 .002
-.032 .013 -.156 -2.414 .018
.051 .004 .980 13.725 .000
.447 .448 .071 .999 .321
-.022 .008 -.176 -2.663 .010
.083 .045 .136 1.817 .073
-.068 .014 -.362 -4.930 .000
1.007 .522 .143 1.931 .057
(Constant) NDTS TANG PROFIT RISIKO UP GO
LIKUIDITAS KHS SMD CG Model 1
B Std. Error
Unstandardized Coefficients
Beta Standardized
Coefficients
t Sig.
Uji Normalitas (Filipina)
One-Sample Kolmogorov-Smirnov Test
75 75 75 75 75 75
.0000000 .0000000 .0000000 .0000000 .0000000 .0000000 .15235714 .11133413 .07722038 .14051083 .06845900 .04954054
.109 .070 .105 .201 .208 .181
.109 .060 .105 .201 .208 .181
-.079 -.070 -.076 -.086 -.091 -.117
N
Mean
Std. Deviation Normal Parametersa,b
Absolute Positive Negative Most Extreme
Differences
Unstandardize d Residual
Unstandardize d Residual
Unstandardize d Residual
Unstandardize d Residual
Unstandardize d Residual
Uji Multikolinearitas (Filipina)
Variables Entered/Removedb
CG, UP, RISIKO, NDTS, SMD, GO, PROFIT, TANG, LIKUIDITA S, KHSa
. Enter
Model 1
Variables Entered
Variables
Removed Method
All requested variables entered. a.
Dependent Variable: DTA b.
Coefficientsa
.751 1.332
.785 1.273
.871 1.148
.945 1.058
.796 1.256
.499 2.002
.685 1.461
.226 4.430
.907 1.103
.309 3.231
NDTS TANG PROFIT RISIKO UP GO
LIKUIDITAS KHS SMD CG Model 1
Tolerance VIF
Collinearity Statistics
Uji Multikolinearitas (Filipina)
Variables Entered/Removedb
CG, UP, RISIKO, NDTS, SMD, GO, PROFIT, TANG, LIKUIDITA S, KHSa
. Enter
Model 1
Variables Entered
Variables
Removed Method
All requested variables entered. a.
Dependent Variable: LDTA b.
Coefficientsa
.751 1.332
.785 1.273
.871 1.148
.945 1.058
.796 1.256
.499 2.002
NDTS TANG PROFIT RISIKO UP GO Model 1
Tolerance VIF
Uji Multikolinearitas (Filipina)
Variables Entered/Removedb
CG, UP, RISIKO, NDTS, SMD, GO, PROFIT, TANG, LIKUIDITA S, KHSa
. Enter
Model 1
Variables Entered
Variables
Removed Method
All requested variables entered. a.
Dependent Variable: SDTA b.
Coefficientsa
.751 1.332
.785 1.273
.871 1.148
.945 1.058
.796 1.256
.499 2.002
.685 1.461
.226 4.430
.907 1.103
.309 3.231
NDTS TANG PROFIT RISIKO UP GO
LIKUIDITAS KHS SMD CG Model 1
Tolerance VIF
Collinearity Statistics
Uji Multikolinearitas (Filipina)
Variables Entered/Removedb
CG, UP, RISIKO, NDTS, SMD, GO, PROFIT, TANG, LIKUIDITA S, KHSa
. Enter
Model 1
Variables Entered
Variables
Removed Method
All requested variables entered. a.
Dependent Variable: TDTDE b.
Coefficientsa
.751 1.332
.785 1.273
.871 1.148
.945 1.058
.796 1.256
.499 2.002
NDTS TANG PROFIT RISIKO UP GO Model 1
Tolerance VIF
Uji Multikolinearitas (Filipina)
Variables Entered/Removedb
CG, UP, RISIKO, NDTS, SMD, GO, PROFIT, TANG, LIKUIDITA S, KHSa
. Enter
Model 1
Variables Entered
Variables
Removed Method
All requested variables entered. a.
Dependent Variable: LDTDE b.
Coefficientsa
.751 1.332
.785 1.273
.871 1.148
.945 1.058
.796 1.256
.499 2.002
.685 1.461
.226 4.430
.907 1.103
.309 3.231
NDTS TANG PROFIT RISIKO UP GO
LIKUIDITAS KHS SMD CG Model 1
Tolerance VIF
Collinearity Statistics
Uji Multikolinearitas (Filipina)
Variables Entered/Removedb
CG, UP, RISIKO, NDTS, SMD, GO, PROFIT, TANG, LIKUIDITA S, KHSa
. Enter
Model 1
Variables Entered
Variables
Removed Method
All requested variables entered. a.
Dependent Variable: SDTDE b.
Coefficientsa
.751 1.332
.785 1.273
.871 1.148
.945 1.058
.796 1.256
.499 2.002
NDTS TANG PROFIT RISIKO UP GO Model 1
Tolerance VIF
Uji Heteroskedastisitas (Filipina)
Regression Standardized Predicted Value
3 2
1 0
-1 -2
-3
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Scatterplot
Uji Heteroskedastisitas (Filipina)
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Scatterplot
Uji Heteroskedastisitas (Filipina)
Regression Standardized Predicted Value 2 0
-2 -4
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Scatterplot
Uji Heteroskedastisitas (Filipina)
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Scatterplot
Uji Heteroskedastisitas (Filipina)
Regression Standardized Predicted Value
4 2
0 -2
-4
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Scatterplot
Uji Heteroskedastisitas (Filipina)
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Scatterplot
Uji Autokorelasi (Filipina)
Variables Entered/Removedb
CG, UP, RISIKO, NDTS, SMD, GO, PROFIT, TANG, LIKUIDITA S, KHSa
. Enter
Model 1
Variables Entered
Variables
Removed Method
All requested variables entered. a.
Dependent Variable: DTA b.
Model Summaryb
.286a .082 -.062 .16383 1.591
Model 1
R R Square
Adjusted R Square
Std. Error of
the Estimate Durbin-Watson
Predictors: (Constant), CG, UP, RISIKO, NDTS, SMD, GO, PROFIT, TANG, LIKUIDITAS, KHS a.
Dependent Variable: DTA b.
ANOVAb
.153 10 .015 .569 .833a
1.718 64 .027
1.870 74
Regression Residual Total Model
1
Sum of
Squares df Mean Square F Sig.
Predictors: (Constant), CG, UP, RISIKO, NDTS, SMD, GO, PROFIT, TANG, LIKUIDITAS, KHS a.
Dependent Variable: DTA b.
Coefficientsa
.417 .600 .696 .489
-.426 .644 -.091 -.661 .511
.140 .076 .248 1.834 .071
.000 .002 -.019 -.146 .885
-.002 .007 -.026 -.209 .835
.004 .007 .072 .533 .596
.535 .468 .194 1.145 .256
-.003 .007 -.069 -.476 .636
.161 .174 .233 .926 .358
-.004 .023 -.022 -.178 .859
.283 .324 .188 .872 .386
(Constant) NDTS TANG PROFIT RISIKO UP GO
LIKUIDITAS KHS SMD CG Model 1
B Std. Error
Unstandardized Coefficients
Beta Standardized
Coefficients
t Sig.
Uji Autokorelasi (Filipina)
Variables Entered/Removedb
CG, UP, RISIKO, NDTS, SMD, GO, PROFIT, TANG, LIKUIDITA S, KHSa
. Enter
Model 1
Variables Entered
Variables
Removed Method
All requested variables entered. a.
Dependent Variable: LDTA b.
Model Summaryb
.503a .253 .136 .11972 1.891
Model 1
R R Square
Adjusted R Square
Std. Error of
the Estimate Durbin-Watson
Predictors: (Constant), CG, UP, RISIKO, NDTS, SMD, GO, PROFIT, TANG, LIKUIDITAS, KHS a.
Dependent Variable: LDTA b.
ANOVAb
.311 10 .031 2.167 .031a
.917 64 .014
1.228 74
Regression Residual Total Model
1
Sum of
Squares df Mean Square F Sig.
Predictors: (Constant), CG, UP, RISIKO, NDTS, SMD, GO, PROFIT, TANG, LIKUIDITAS, KHS a.
Dependent Variable: LDTA b.
Coefficientsa
-.243 .438 -.555 .581
-1.121 .471 -.297 -2.381 .020
.211 .056 .461 3.781 .000
.001 .001 .071 .616 .540
.006 .005 .115 1.037 .304
.006 .005 .147 1.211 .230
-.153 .342 -.069 -.448 .655
(Constant) NDTS TANG PROFIT RISIKO UP GO Model 1
B Std. Error
Unstandardized Coefficients
Beta Standardized
Coefficients
Uji Autokorelasi (Filipina)
Variables Entered/Removedb
CG, UP, RISIKO, NDTS, SMD, GO, PROFIT, TANG, LIKUIDITA S, KHSa
. Enter
Model 1
Variables Entered
Variables
Removed Method
All requested variables entered. a.
Dependent Variable: SDTA b.
Model Summaryb
.667a .444 .357 .08303 2.478
Model 1
R R Square
Adjusted R Square
Std. Error of
the Estimate Durbin-Watson
Predictors: (Constant), CG, UP, RISIKO, NDTS, SMD, GO, PROFIT, TANG, LIKUIDITAS, KHS a.
Dependent Variable: SDTA b.
ANOVAb
.353 10 .035 5.117 .000a
.441 64 .007
.794 74
Regression Residual Total Model
1
Sum of
Squares df Mean Square F Sig.
Predictors: (Constant), CG, UP, RISIKO, NDTS, SMD, GO, PROFIT, TANG, LIKUIDITAS, KHS a.
Dependent Variable: SDTA b.
Coefficientsa
.438 .304 1.441 .155
1.069 .327 .352 3.274 .002
-.074 .039 -.201 -1.911 .060
.001 .001 .097 .974 .334
-.001 .004 -.038 -.394 .695
.006 .004 .170 1.627 .109
.210 .237 .117 .884 .380
-.016 .003 -.510 -4.524 .000
-.044 .088 -.097 -.495 .622
-.014 .012 -.119 -1.214 .229
-.113 .164 -.115 -.689 .493
(Constant) NDTS TANG PROFIT RISIKO UP GO
LIKUIDITAS KHS SMD CG Model 1
B Std. Error
Unstandardized Coefficients
Beta Standardized
Coefficients
t Sig.
Uji Autokorelasi (Filipina)
Variables Entered/Removedb
CG, UP, RISIKO, NDTS, SMD, GO, PROFIT, TANG, LIKUIDITA S, KHSa
. Enter
Model 1
Variables Entered
Variables
Removed Method