Regression Statistics Multiple R 0.853457428 R Square 0.728389582 Adjusted R Square 0.683121179 Standard Error 2.202995958 Observations 22 ANOVA df SS MS F Significance F Regression 3 234.2702859 78.09009529 16.09046342 2.463898-05 Residual 18 87.35744141 4.85319119 Tota 21 321.6277273 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0% Intercept 4.425505965 3.222200412 -1.373442182 0.186481358 -11.19509783 2.344085899 -11.19509783 2.344085899 Trade ( of GDP) 0.092064489 0.04348967 2.116927746 0.048454106 0.000696083 0.183432894 0.000696083 0.183432894 Remittances (% of GDP) 8.399509076 4.018888662 2.090007906 0.051079697 -0.043862691 16.84288084 -0.043862691 16.84288084 Russian GDP growth () 0.442849053 0.155287588 2.851799409 0.010590661 0.116601936 0.76909617 0.116601936 0.76909617 3) Comment on Goodness of fit and significance of the model as a whole C) Are all variables in the model statistically significant? Why? D) Based on the regression results, is the relationship between Russian GDP growth and Kazakh GDP growth significant? E) As a result of international sanctions after Russia's invasion of Ukraine, the IMF forecasts that Russia will experience a negative GDP growth rate in 2022. Based on the regression results, what is the expected impact on Kazakh GDP growth? Make sure to use the regression coefficient in your