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regression results attached measure the relationship between exports, foreign direct investments, and GDP in the case of Russia
regression results attached measure the relationship between exports, foreign direct investments, and GDP in the case of Russia. Please explain both coefficients of independent variables (significance and meaning) (You don't have to write the null and alternative hypothesis for significance, just mention if the coefficient is significant or not). Dependent Variable: GDP Method: Least Squares Date: 12/02/20 Time: 15:19 Sample: 2000 2010 Included observations: 20 Variable Coefficient Std. Error 1-Statistic Prob ? EXPORTS -1.62E-11 3.849567 2.104872 5.72E-10 0.145921 1881889 -2824741 26.38120 1.118489 0.0117 0.0000 0.2789 FOI R-squared Adjusted R-squared S.E of regression Sum squared resid Log ihood Fstatistic Prob(F-statistic) 0.979016 Moon dependent var 0.976548 S.D. dependenta 100E 11 Akake into critenon 1 70E-23 Schwarz criterion 533 3448 Hannan Ounnnter 396 5801 Durbin Watson stat 0.000000 128E12 6.54E-11 53.63448 53.78384 5366363 1.787258
First Independent variable (write the name of the variable here) Significance: Meaning: - Second Independent variable (write the name of the variable here) Significance Meaning:
Expert Solution
First Variable is Exports :-
Signifcance leve is 0.0000 so P value is less than alpha, so null hypothesis is rejected.
Meaning :- as the nullhypothesis is rejected that means the GDP is not independent of the Exports.
Second Variable is FDI :-
Significance level is 0.2789 so p value is more than alpha so null hypothesis is not rejected
Meaning :- as null hypothesis is not rejected that means the GDP is independent of FDI.
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