Analysis this OLS model and explain the detail result of this OLS. Dependent Var

Question

Analysis this OLS model and explain the detail result of this OLS.

Dependent Variable: IMPORT Method: Least Squares Date: 1109/17 Time: 14:16 Sample: 1 177 Included observations: 177 Variable Coefficient Std. Error t-Statistic Prob GDP CPI FDI 506.2518 107.7631 4.697820 0.0000 0.266819 0.0258240.33231 0.0000 1690.669 300.8686 5.619293 0.0000 4.01E-05 5.31E-05 0.756240 0.4505 4.271713 0.991810 4.306986 0.0000 DOLLAR_INDEX R-squared Adjusted R-squared S.E. of regression Sum squared resid Log likelihood F-statistic Prob(F-statistic) 0.984452 Mean dependent var 0.984091 S.D. dependent var 118.0728 Akaike info criteriorn 2397884. Schwarz criterion 1093.136 Hannan-Quinn criter 2722.687 Durbin-Watson stat 0.000000 1189.038 936.1060 12.40832 12.49804 12.44471 0.186085

Explanation / Answer

THe analysis of OLS model in detail:

The OLS model is significant, at a p-value of 0.00 , menaing atleast one of the predictor variables is significant in the regression equation.

THe Rsquare is at .985 indicating that 98.5% of variance in the model can be explained by independent variables
C, GDP, CPI, FDI and DollarIndex

All these independent variables are statistically significant, except FDI which has a p-value of .4505

The tests of criterion also suggest that the variables are significant.

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