2. Uji Asumsi Klasik
a Autokorelasi
1. Autokorelasi Sebelum Dimasukkan AR1
Breusch-Godfrey Serial Correlation LM Test: F-statistic
255.7026 Prob. F1,91 0.0000
ObsR-squared 70.80261 Prob. Chi-Square1
0.0000 Test Equation:
Dependent Variable: RESID Method: Least Squares
Date: 112416 Time: 03:53 Sample: 2008M01 2015M12
Included observations: 96 Presample missing value lagged residuals set to zero.
Variable Coefficient
Std. Error t-Statistic
Prob. C
2.117429 5.068488
0.417763 0.6771
BIRATE -0.135014
0.131923 -1.023433
0.3088 LOGKURS
0.455384 1.087188
0.418864 0.6763
LOGM2 -0.364512
0.458744 -0.794587
0.4289 RESID-1
0.888011 0.055533
15.99070 0.0000
R-squared 0.737527 Mean dependent var
-9.62E-15 Adjusted R-squared
0.725990 S.D. dependent var 1.372303
S.E. of regression 0.718345 Akaike info criterion
2.226946 Sum squared resid
46.95784 Schwarz criterion 2.360506
Log likelihood -101.8934 Hannan-Quinn criter.
2.280933 F-statistic
63.92564 Durbin-Watson stat 1.442050
ProbF-statistic 0.000000
2. Autokorelasi Setelah Dimasukan AR1
Breusch-Godfrey Serial Correlation LM Test: F-statistic
7.961543 Prob. F1,86 0.0059
ObsR-squared 7.880070 Prob. Chi-Square1
0.0050 Test Equation:
Dependent Variable: RESID Method: Least Squares
Date: 112416 Time: 10:11 Sample: 2008M04 2015M12
Included observations: 93 Presample missing value lagged residuals set to zero.
Variable Coefficient
Std. Error t-Statistic
Prob. C
-16.25323 40.04675
-0.405857 0.6859
BIRATE -0.103247
0.438540 -0.235434
0.8144 LOGKURS
0.640642 2.258204
0.283696 0.7773
LOGM2 0.754966
2.815497 0.268146
0.7892 ECT-1
-0.002972 0.122146
-0.024335 0.9806
AR1 -0.060694
0.060229 -1.007715
0.3164 RESID-1
0.335014 0.118731
2.821621 0.0059
R-squared 0.084732 Mean dependent var
-1.59E-08 Adjusted R-squared
0.020876 S.D. dependent var 0.676411
S.E. of regression 0.669313 Akaike info criterion
2.107156 Sum squared resid
38.52629 Schwarz criterion 2.297782
Log likelihood -90.98276 Hannan-Quinn criter.
2.184125 F-statistic
1.326924 Durbin-Watson stat 1.937546
ProbF-statistic 0.253994