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3: Further issues (a) Estimate Model D: log(price) = o + log(lotsize) + log(sqrft) + 3bdrms + u and report the results, including the parameter
3: Further issues (a) Estimate Model D: log(price) = o + log(lotsize) + log(sqrft) + 3bdrms + u and report the results, including the parameter estimates, standard errors of parameter estimates, number of observations and R-squared. (3 marks) (b) Interpret that you have obtained in (a). (3 marks) (c) Interpret R-squared. (3 marks) (d) Model C and Model D adjusted R-squared because (2, 3 marks) (e) Based on AIC, Model C is marks) (g) The marginal effect of lotsize on price is 3 The marginal effect exhibits which means Estimate Model E: price = Bo + Pilotsize + Blotsize+ B3sqrft + abdrms + u and report the results, including the parameter estimates, standard errors of parameter estimates, number of observations and R-squared. (3 marks) (can/cannot) be compared based on R-squared or (3, 2, 3, 3 marks) (preferred/less preferred) than Model D. (2 (increasing/constant/diminishing) pattern, The turnaround point of the marginal effect occurs when lotsize is at the value of
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