Question 5) From Given multiple regression output answer the following questions. Regression Statistics Multiple R 0,94296454 R Square 0.88918213 Adjusted R Square 0.87213322 Standard Error 115.075084 Observations 16 ANOVA of 55 MS ignificance F Regression 2 1381296.362 690648.18 52.15479816 6.17E-07 Residual 13 172149.5753 13242.275 Total 15 1553445.938 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% ower 95.09 Upper 95.0% Intercept -1490.0003 274.3167803 -5.4316777 3.000114754 -2082.626 897.3749584 -2082.63 -897.3749584 14.1397472 1.613346202 8.7642362 8.12372E-07 10.65432 17.6251698 10.65432 17.6251698 x2 83.7892972 11.76953203 7.1191698 7.8258BE-06 58.36277 109.2158253 58.36277 109.2158253 A) Interpret the Adjusted R square. B) Test the significance of the overall model using a=0.05. c) Write the multiple regression equation. D) Use the Model to predict when x1=2 and x2=4 E) Interpret 95% confidence interval for the coefficient (B1). F) Interpret 95% confidence interval for the coefficient (B2). 1 Interpret p-value for the coefficient bl. J Interpret p-value for the coefficient b2