Analisis Pengaruh Tingkat Susku Bunga Sbi, Rating Obligasi, Likuiditas Dan Maturitas Terhadap Imbal Hasilsampai Jatuh Tempo (Yield To Maturity) Obligasikorporasi Yang Terdaftar Di Bei
Lampiran 1. Regresi Linier Berganda (Tahap 1)
b
Model Summary
Model
R
1
.399
Adjusted R
Square
R Square
a
.159
Std. Error of the
Estimate
.147
Durbin-Watson
1.45711
1.640
a. Predictors: (Constant), Maturitas, SBI, Likuiditas, Rating
b. Dependent Variable: YTM
b
ANOVA
Model
1
Sum of Squares
df
Mean Square
Regression
107.382
4
26.846
Residual
566.884
267
2.123
Total
674.267
271
F
Sig.
12.644
.000
a
a. Predictors: (Constant), Maturitas, SBI, Likuiditas, Rating
b. Dependent Variable: YTM
Coefficients
Unstandardized
Coefficients
Model
1
B
(Constant)
a
Standardized
Coefficients
Std. Error
13.689
1.163
SBI
-.027
.146
Rating
-.260
Likuiditas
Maturitas
Beta
Collinearity
Statistics
t
Sig.
Tolerance
VIF
11.772
.000
-.010
-.186
.852
.999
1.001
.037
-.401
-7.109
.000
.989
1.011
.002
.006
.023
.414
.679
.990
1.010
.067
.113
.033
.590
.556
.989
1.011
a. Dependent Variable: YTM
One-Sample Kolmogorov-Smirnov Test
Unstandardized
Residual
N
a
Normal Parameters
Most Extreme Differences
Kolmogorov-Smirnov Z
Asymp. Sig. (2-tailed)
a. Test distribution is Normal.
Mean
Std. Deviation
Absolute
Positive
Negative
272
.0000000
1.44631388
.096
.096
-.043
1.578
.014
Lampiran 2. Regresi Linier Berganda (Tahap 2)
b
Model Summary
Model
R
1
.550
Adjusted R
Square
R Square
a
.303
Std. Error of the
Estimate
.292
Durbin-Watson
1.04010
1.916
a. Predictors: (Constant), Maturitas, SBI, Likuiditas, Rating
b. Dependent Variable: YTM
b
ANOVA
Model
1
Sum of Squares
df
Mean Square
Regression
116.083
4
29.021
Residual
267.206
247
1.082
Total
383.289
251
F
Sig.
26.826
.000
a
a. Predictors: (Constant), Maturitas, SBI, Likuiditas, Rating
b. Dependent Variable: YTM
Coefficients
Unstandardized
Coefficients
Model
1
B
(Constant)
a
Standardized
Coefficients
Std. Error
14.315
.854
SBI
-.100
.108
Rating
-.275
Likuiditas
Maturitas
Beta
Collinearity
Statistics
t
Sig.
Tolerance
VIF
16.772
.000
-.049
-.928
.354
.999
1.001
.027
-.547
-10.186
.000
.978
1.022
-.002
.004
-.028
-.531
.596
.983
1.017
.041
.084
.026
.484
.629
.983
1.018
a. Dependent Variable: YTM
One-Sample Kolmogorov-Smirnov Test
Unstandardized
Residual
N
a
Normal Parameters
Most Extreme Differences
Kolmogorov-Smirnov Z
Asymp. Sig. (2-tailed)
a. Test distribution is Normal.
Mean
Std. Deviation
Absolute
Positive
Negative
252
.0000000
1.03177726
.051
.031
-.051
.803
.540
b
Model Summary
Model
R
1
.399
Adjusted R
Square
R Square
a
.159
Std. Error of the
Estimate
.147
Durbin-Watson
1.45711
1.640
a. Predictors: (Constant), Maturitas, SBI, Likuiditas, Rating
b. Dependent Variable: YTM
b
ANOVA
Model
1
Sum of Squares
df
Mean Square
Regression
107.382
4
26.846
Residual
566.884
267
2.123
Total
674.267
271
F
Sig.
12.644
.000
a
a. Predictors: (Constant), Maturitas, SBI, Likuiditas, Rating
b. Dependent Variable: YTM
Coefficients
Unstandardized
Coefficients
Model
1
B
(Constant)
a
Standardized
Coefficients
Std. Error
13.689
1.163
SBI
-.027
.146
Rating
-.260
Likuiditas
Maturitas
Beta
Collinearity
Statistics
t
Sig.
Tolerance
VIF
11.772
.000
-.010
-.186
.852
.999
1.001
.037
-.401
-7.109
.000
.989
1.011
.002
.006
.023
.414
.679
.990
1.010
.067
.113
.033
.590
.556
.989
1.011
a. Dependent Variable: YTM
One-Sample Kolmogorov-Smirnov Test
Unstandardized
Residual
N
a
Normal Parameters
Most Extreme Differences
Kolmogorov-Smirnov Z
Asymp. Sig. (2-tailed)
a. Test distribution is Normal.
Mean
Std. Deviation
Absolute
Positive
Negative
272
.0000000
1.44631388
.096
.096
-.043
1.578
.014
Lampiran 2. Regresi Linier Berganda (Tahap 2)
b
Model Summary
Model
R
1
.550
Adjusted R
Square
R Square
a
.303
Std. Error of the
Estimate
.292
Durbin-Watson
1.04010
1.916
a. Predictors: (Constant), Maturitas, SBI, Likuiditas, Rating
b. Dependent Variable: YTM
b
ANOVA
Model
1
Sum of Squares
df
Mean Square
Regression
116.083
4
29.021
Residual
267.206
247
1.082
Total
383.289
251
F
Sig.
26.826
.000
a
a. Predictors: (Constant), Maturitas, SBI, Likuiditas, Rating
b. Dependent Variable: YTM
Coefficients
Unstandardized
Coefficients
Model
1
B
(Constant)
a
Standardized
Coefficients
Std. Error
14.315
.854
SBI
-.100
.108
Rating
-.275
Likuiditas
Maturitas
Beta
Collinearity
Statistics
t
Sig.
Tolerance
VIF
16.772
.000
-.049
-.928
.354
.999
1.001
.027
-.547
-10.186
.000
.978
1.022
-.002
.004
-.028
-.531
.596
.983
1.017
.041
.084
.026
.484
.629
.983
1.018
a. Dependent Variable: YTM
One-Sample Kolmogorov-Smirnov Test
Unstandardized
Residual
N
a
Normal Parameters
Most Extreme Differences
Kolmogorov-Smirnov Z
Asymp. Sig. (2-tailed)
a. Test distribution is Normal.
Mean
Std. Deviation
Absolute
Positive
Negative
252
.0000000
1.03177726
.051
.031
-.051
.803
.540