An economist is interested to see how consumption for an economy (in $ billions) is influenced by gross domestic product ($ billions) and aggregate price (consumer price index). The Microsoft Excel output of this regression is partially reproduced below and stored in Comsumpution.xIsx 4 - SUMMARY OUTPUT Regression Statistics Multiple R 0.991 R Square Adjusted R Square Standard Error Observations 10 ANOVA df SS MS F Significance F Regression 2 33.416 6.708 186.32 0.0001 Residual 0.628 0.09 Total 9 34.044 Coefficients Standard Error Stat P-value Lower 95% Upper 95% Intercept -0.086 0.5674 0.157 0.8837 3D 0.7654 0.0574 13.34 0.0001 Price -0.0006 0.0028 (Round to 3 decimal places) (1) Calculate the adjusted R square. 0.976 (2) Calculate standard error for estimate, Syx. 0.3 (3) Test the hypothesis concerning the price slope. What is the t test statistic? -0.214 (4) Test the hypothesis concerning the price slope. What is the corresponding p-value based on the t test statistic? |0.833 (5) Construct the confidence interval estimate for the GDP slope. What is the upper bound of the confidence interval? -0.630 Answer 1: 0.976 Answer 2: 0.3 Answer 3: -0.214 Answer 4: 0.833 Answer 5: -0.630