Faktor-Faktor Yang Mempengaruhi Struktur Modal Dengan Profitabilitas Sebagai Variabel Moderating Pada Perusahaan Sektor Aneka Industri Yang Terdaftar Di Bursa Efek Indonesia
Lampiran Output SPSS
Descriptives
Descriptive Statistics
N
SBI
RTA
SIZE
ROA
DER
Valid N (listwise)
Minimum
115
115
115
115
115
Maximum
5.77
.00
9.52
.00
.01
Mean
7.54
4.87
18.27
295.87
2.62
Std. Deviation
6.57
0.36
14.56
16.69
0.24
0.57
0.46
1.77
29.63
0.35
115
NPar Tests
One-Sample Kolmogorov-Smirnov Test
SBI
N
Normal
a
Parameters
Mean
Std.
Deviation
Most Extreme
Absolute
Differences
Positive
Negative
Kolmogorov-Smirnov Z
Asymp. Sig. (2-tailed)
RTA
SIZE
115
6.5740
115
.3605
115
14.5636
.56708
.46185
1.76851
.296
.296
-.234
3.172
.000
.262
.252
-.262
2.806
.000
.114
.114
-.086
1.225
.099
ROA
DER
115
16.6870
2.96291E
1
.287
.252
-.287
3.074
.000
Unstandardiz
ed Residual
115
.2440
115
.0000000
.35084
.34456184
.253
.232
-.253
2.712
.000
.255
.255
-.252
2.730
.000
a. Test distribution is Normal.
NPar Tests
One-Sample Kolmogorov-Smirnov Test
SBI.Ln
N
Normal
a
Parameters
Mean
Std.
Deviation
Most Extreme
Absolute
Differences
Positive
Negative
Kolmogorov-Smirnov Z
Asymp. Sig. (2-tailed)
a. Test distribution is Normal.
RTA.Ln SIZE.Ln ROA.Ln DER.Ln
115
114
1.8795 -1.2559
.08532 .62975
.279
.279
-.250
2.989
.000
.085
.057
-.085
.913
.375
115
114
2.6711 2.2659
1.0617
.12284
4
.096
.068
.092
.068
-.096
-.068
1.031
.725
.238
.669
Unstandardized
Residual
115
-2.0436
113
.0000000
1.08938
.98134552
.127
.127
-.088
1.358
.050
.051
.051
-.036
.545
.928
Charts
b
Model Summary
Model
1
R
.445
R Square
a
Adjusted R
Square
.198
Std. Error of the
Estimate
.168
Durbin-Watson
.99935
1.459
a. Predictors: (Constant), ROA.Ln, SBI.Ln, RTA.Ln, SIZE.Ln
b. Dependent Variable: DER.Ln
Coefficients
Unstandardized
Coefficients
Model
1
B
(Constant)
Std. Error
-2.545
3.004
SBI.Ln
.222
1.122
RTA.Ln
.448
SIZE.Ln
ROA.Ln
a
Standardized
Coefficients
Beta
Collinearity
Statistics
t
Sig.
Tolerance
VIF
-.847
.399
.017
.197
.844
.998
1.002
.150
.259
2.985
.004
.990
1.010
.585
.796
.066
.735
.464
.918
1.090
-.402
.093
-.385
-4.297
.000
.925
1.081
a. Dependent Variable: DER.Ln
Regression
b
Model Summary
Model
R
1
.445
Adjusted R
Std. Error of the
Square
Estimate
R Square
a
.198
.168
.99935
a. Predictors: (Constant), ROA.Ln, SBI.Ln, RTA.Ln, SIZE.Ln
b. Dependent Variable: DER.Ln
b
ANOVA
Model
1
Sum of Squares
Regression
df
Mean Square
26.657
4
6.664
Residual
107.860
108
.999
Total
134.517
112
F
Sig.
6.673
.000
a
a. Predictors: (Constant), ROA.Ln, SBI.Ln, RTA.Ln, SIZE.Ln
b. Dependent Variable: DER.Ln
Coefficients
a
Standardized
Unstandardized Coefficients
Model
1
B
(Constant)
Std. Error
-2.545
3.004
SBI.Ln
.222
1.122
RTA.Ln
.448
SIZE.Ln
ROA.Ln
a. Dependent Variable: DER.Ln
Coefficients
Beta
t
Sig.
-.847
.399
.017
.197
.844
.150
.259
2.985
.004
.585
.796
.066
.735
.464
-.402
.093
-.385
-4.297
.000
Regression Moderating
b
Model Summary
Model
R
1
.114
Adjusted R
Std. Error of the
Square
Estimate
R Square
a
.013
.004
.67816
a. Predictors: (Constant), DER.Ln
b. Dependent Variable: AbsRes_1
b
ANOVA
Model
1
Sum of Squares
Regression
df
Mean Square
.677
1
.677
Residual
51.049
111
.460
Total
51.726
112
F
Sig.
1.473
.227
a
a. Predictors: (Constant), DER.Ln
b. Dependent Variable: AbsRes_1
Coefficients
a
Standardized
Unstandardized Coefficients
Model
1
B
Std. Error
(Constant)
DER.Ln
.600
.135
-.071
.058
a. Dependent Variable: AbsRes_1
Coefficients
Beta
t
-.114
Sig.
4.448
.000
-1.214
.227
Descriptives
Descriptive Statistics
N
SBI
RTA
SIZE
ROA
DER
Valid N (listwise)
Minimum
115
115
115
115
115
Maximum
5.77
.00
9.52
.00
.01
Mean
7.54
4.87
18.27
295.87
2.62
Std. Deviation
6.57
0.36
14.56
16.69
0.24
0.57
0.46
1.77
29.63
0.35
115
NPar Tests
One-Sample Kolmogorov-Smirnov Test
SBI
N
Normal
a
Parameters
Mean
Std.
Deviation
Most Extreme
Absolute
Differences
Positive
Negative
Kolmogorov-Smirnov Z
Asymp. Sig. (2-tailed)
RTA
SIZE
115
6.5740
115
.3605
115
14.5636
.56708
.46185
1.76851
.296
.296
-.234
3.172
.000
.262
.252
-.262
2.806
.000
.114
.114
-.086
1.225
.099
ROA
DER
115
16.6870
2.96291E
1
.287
.252
-.287
3.074
.000
Unstandardiz
ed Residual
115
.2440
115
.0000000
.35084
.34456184
.253
.232
-.253
2.712
.000
.255
.255
-.252
2.730
.000
a. Test distribution is Normal.
NPar Tests
One-Sample Kolmogorov-Smirnov Test
SBI.Ln
N
Normal
a
Parameters
Mean
Std.
Deviation
Most Extreme
Absolute
Differences
Positive
Negative
Kolmogorov-Smirnov Z
Asymp. Sig. (2-tailed)
a. Test distribution is Normal.
RTA.Ln SIZE.Ln ROA.Ln DER.Ln
115
114
1.8795 -1.2559
.08532 .62975
.279
.279
-.250
2.989
.000
.085
.057
-.085
.913
.375
115
114
2.6711 2.2659
1.0617
.12284
4
.096
.068
.092
.068
-.096
-.068
1.031
.725
.238
.669
Unstandardized
Residual
115
-2.0436
113
.0000000
1.08938
.98134552
.127
.127
-.088
1.358
.050
.051
.051
-.036
.545
.928
Charts
b
Model Summary
Model
1
R
.445
R Square
a
Adjusted R
Square
.198
Std. Error of the
Estimate
.168
Durbin-Watson
.99935
1.459
a. Predictors: (Constant), ROA.Ln, SBI.Ln, RTA.Ln, SIZE.Ln
b. Dependent Variable: DER.Ln
Coefficients
Unstandardized
Coefficients
Model
1
B
(Constant)
Std. Error
-2.545
3.004
SBI.Ln
.222
1.122
RTA.Ln
.448
SIZE.Ln
ROA.Ln
a
Standardized
Coefficients
Beta
Collinearity
Statistics
t
Sig.
Tolerance
VIF
-.847
.399
.017
.197
.844
.998
1.002
.150
.259
2.985
.004
.990
1.010
.585
.796
.066
.735
.464
.918
1.090
-.402
.093
-.385
-4.297
.000
.925
1.081
a. Dependent Variable: DER.Ln
Regression
b
Model Summary
Model
R
1
.445
Adjusted R
Std. Error of the
Square
Estimate
R Square
a
.198
.168
.99935
a. Predictors: (Constant), ROA.Ln, SBI.Ln, RTA.Ln, SIZE.Ln
b. Dependent Variable: DER.Ln
b
ANOVA
Model
1
Sum of Squares
Regression
df
Mean Square
26.657
4
6.664
Residual
107.860
108
.999
Total
134.517
112
F
Sig.
6.673
.000
a
a. Predictors: (Constant), ROA.Ln, SBI.Ln, RTA.Ln, SIZE.Ln
b. Dependent Variable: DER.Ln
Coefficients
a
Standardized
Unstandardized Coefficients
Model
1
B
(Constant)
Std. Error
-2.545
3.004
SBI.Ln
.222
1.122
RTA.Ln
.448
SIZE.Ln
ROA.Ln
a. Dependent Variable: DER.Ln
Coefficients
Beta
t
Sig.
-.847
.399
.017
.197
.844
.150
.259
2.985
.004
.585
.796
.066
.735
.464
-.402
.093
-.385
-4.297
.000
Regression Moderating
b
Model Summary
Model
R
1
.114
Adjusted R
Std. Error of the
Square
Estimate
R Square
a
.013
.004
.67816
a. Predictors: (Constant), DER.Ln
b. Dependent Variable: AbsRes_1
b
ANOVA
Model
1
Sum of Squares
Regression
df
Mean Square
.677
1
.677
Residual
51.049
111
.460
Total
51.726
112
F
Sig.
1.473
.227
a
a. Predictors: (Constant), DER.Ln
b. Dependent Variable: AbsRes_1
Coefficients
a
Standardized
Unstandardized Coefficients
Model
1
B
Std. Error
(Constant)
DER.Ln
.600
.135
-.071
.058
a. Dependent Variable: AbsRes_1
Coefficients
Beta
t
-.114
Sig.
4.448
.000
-1.214
.227