SUMMARY OUTPUT Regression Statistics Multiple R 0.787906548 R Square Adjusted R Square 0.616387387 Standard Error 63.61708058 Observations 88 ANOVA SS MS F Significance F Regression 569801.0753 569801.0753 140.7912919 8.42341E-20 Residual 86 348053.433 4047. 132941 Total 87 917854.5083 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Intercept 11.20414482 24.74260761 0.452827972 0.651812965 -37.98253022 60.39081986 X Variable 1 (sqrft) 0. 140210977 0.011816643 11.86555064 8.42341E-20 0. 116720269 0. 16370168630. (continuing to use the information from question 29). What is the coefficient of determination R?? [Hint you can compute R' by using the formula, R'=RSS/TSS which the Excel regression output reports.]29. [Simple Regression on House Price] Consider the following model you wish to estimate by using the OLS, Price = a + [3 sqrft + a, where pn'ce is the house price in thousands of dollars and sqrj'? is size of house in square feet. The OLS result from Excel is as follows (see below)