I have run this regression equation in Eviews. I need someone to analyse the res

Question

I have run this regression equation in Eviews. I need someone to analyse the result please

Dependent Variable: GDP_GROWTH_RATE Method: Least Squares Date: 12/20/17 Time: 19:25 Sample: 1970 2016 Included observations: 47 Variable Coefficient Std. Error t-Statistic Prob. 6.138427 2.449505 2.505987 0.0161 6.43E-06 6.23E-06 1.031165 0.3082 OIL_REVENUE NON OIL REVENUE -8.38E-05 4.78E-05 1.751432 0.0870 INFLATION RATE 0.207414 0.182312 1.137688 0.2616 R-squared Adjusted R-squared S.E. of regression Sum squared resid Log likelihood F-statistic Prob(F-statistic) 0.123972 0.062853 9.139601 3591.889 Mean dependent var S.D. dependent var Akaike info criterion Schwarz criterion 4.363404 9.441119 7.344376 7.501835 7.403629 1.522727 -168.5928 Hannan-Quinn criter 2.028389 Durbin-Watson stat 0.124096

Explanation / Answer

The output shows the regression coefficients, their Standard errors, t Statistics and the p value when you regress GDP growth rate on a constant, oil revenue, non oil revenue and inflation rate.

Look at the p values to see the Statistical significance of the variables. At a critical level of 5%, we can see that the p value is lower only for the Constant and no other variable. Thus, all the variables are Statistically Insignificant. This is also visible from the F stat given below, which gives a p value of 0.12, again Insignificant at 5% level.

The R squared for the regression is low as expected, 12.39% and so is the adjusted R squared.

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