Asumsi Klasik

 

Dependent Variable: Y

Method: Least Squares

Date: 11/18/17   Time: 13:50

Sample: 1960 1982

Included observations: 23

Variable
Coefficient
Std. Error
t-Statistic
Prob.

X1
0.002101
0.003190
0.658788
0.5184
X2
-0.636353
0.164748
-3.862585
0.0011
X3
0.217663
0.058102
3.746221
0.0015
X4
0.097555
0.041223
2.366548
0.0294
C
36.30322
3.867471
9.386812
0.0000

R-squared
0.939196
Mean dependent var
39.71304
Adjusted R-squared
0.925683
S.D. dependent var
7.449668
S.E. of regression
2.030858
Akaike info criterion
4.444454
Sum squared resid
74.23895
Schwarz criterion
4.691301
Log likelihood
-46.11123
Hannan-Quinn criter.
4.506536
F-statistic
69.50775
Durbin-Watson stat
1.387410
Prob(F-statistic)
0.000000

• Setelah itu jendela Equation akan otomatis berubah menjadi output Histogram Normality
• Test.

12. kemudian klik view,pilih residual  diagnostics,klik Heteroskedasticity Tests,muncul jendela Heteroskedasticity Tests dan pilih Test Type, kemudian pilih Uji Glejser dan klik OK