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