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Assume we need a model to estimate home price. A sample of 15 observations showed: No of Age Garage sf. Rooms ears) (ves=l) N in

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Assume we need a model to estimate home price. A sample of 15 observations showed: No of Age Garage sf. Rooms ears) (ves=l) N in N . N N F5 E333 h N '1'. 5% a a e\" a a e. H H N I}? to N -! I 1 _ I... M '0 N The Excel Regression output for the previous data is: Regression Statistics Multiple R 0.945 R Square 0.893 Adjusted R Square Standard Error 22.268 Observations 15 ANOVA a'f 55 MS F Significance F Regression 41356.793 Residual 4958.557 Total 14 45315349 Coefficients Standard Error t Stat P-vaiae Lower 95% Upper 95% Intercept \"29.542 54.964 -0.537 0.503 -152.009 92.925 Size (s.f.) 0.073 0.014 5.193 0.001 0.042 0.104 No of Rooms 7.179 8.940 Age (years) 41.237 1.281 -0.185 0.857 -3.092 2.618 Garage (yes=1) 35.672 19.433 30.292 0.776 48.971 37.526 Based on the output, what is your estimate for a house with size = 3200 s.f., 8 rooms, 20 years old, that has a garage

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