Interpreting major parts from regression output

Reference no: EM1320730

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

Reference no: EM1320730

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