Q1) For following two regressions describe and interpret major parts from regression output. write down the difference between two regressions? In Model 2 which variable must be dropped?
Model 3: OLS evaluates using the 36 observations 1960-1995
Dependent variable: lnG
|
|
Coefficient
|
Std. Error
|
t-ratio
|
p-value
|
|
|
const
|
-11.1239
|
0.738359
|
-15.0657
|
<0.00001
|
***
|
|
lnPg
|
-0.0812498
|
0.027939
|
-2.9081
|
0.00656
|
***
|
|
lnY
|
1.81327
|
0.0797564
|
22.7351
|
<0.00001
|
***
|
|
lnPs
|
-0.141843
|
0.0383286
|
-3.7007
|
0.00081
|
***
|
|
Mean dependent var
|
5.392989
|
S.D. dependent var
|
0.248779
|
|
Sum squared resid
|
0.027365
|
S.E. of regression
|
0.029243
|
|
R-squared
|
0.987367
|
Adjusted R-squared
|
0.986183
|
|
F(3, 32)
|
833.7078
|
P-value(F)
|
1.93e-30
|
|
Log-likelihood
|
78.19459
|
Akaike criterion
|
-148.3892
|
|
Schwarz criterion
|
-142.0551
|
Hannan-Quinn
|
-146.1784
|
|
rho
|
0.625817
|
Durbin-Watson
|
0.721663
|