1. Import the variables into Eviews. Run the following the regression Price= f(Assess, bdrms, lotsize, sqrft, colonial) 2. A Explain the economic rationale underlying the regression equation. 3. Interpret the estimated coefficients. 4. Give the estimates, their standard errors, their t-statistics, their p-values, the R2, the adjusted R2, th

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1.  Import the variables into Eviews.  Run the following the regression Price= f(Assess, bdrms, lotsize, sqrft, colonial) 2. A Explain the economic rationale underlying the regression equation. 3. Interpret the estimated coefficients. 4. Give the estimates, their standard errors, their t-statistics, their p-values, the R2, the adjusted R2, the F-statistic, and the corresponding p-value. Are your results statistically significant at the 5% level? 5. Discuss the adequacy of the model with respect to  R2  Serial correlation  Functional form  Normality  Heteroscedasticity  Multicollinrearity 6. What remedies do you suggest for any problem in the model? Explain you answers in detailObs:    88              1. price                    price, in dollars  2. assess                   assessed value, in dollars3. bdrms                    number of bedrooms 4. lotsize                  size of lot, square feet 5. sqrft                    size of house, square feet6. colonial                 =1 if home is colonial style7. lprice                   log(price)  8. lassess                  log(assess  9. llotsize                 log(lotsize)  10. lsqrft                   log(sqrft)

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Obs: 88

1. price price, in dollars
2. assess assessed value, in dollars
3. bdrms number of bedrooms
4. lotsize size of lot, square feet
5. sqrft size of house, square feet
6. colonial =1 if home is colonial style
7. lprice log(price)
8. lassess log(assess
9. llotsize log(lotsize)
10. lsqrft log(sqrft)