\fQUESTION 1 0.5 points Saved Write down your first order regression model. O a. Y = B0 + B1*X1 + B2*X2 + B3*X3 + error O b. Y = B0 + B1*X1 + B2*X2 + B3*X3 + B4*X4 O c. Y = B0 + B1*X1 + error O d. Y_hat = BO_hat + B1_hat*X1 + B2_hat*X2 + B3_hat*X3 QUESTION 2 1 points Saved Obtain the Minitab output for this model and fill in the ANOVA table below. (Round to the nearest whole number, except F, which you should round to 2 decimal places) Source Df SS MS F 4216454982 Regression 3 1405484994 13.54 17 1764831142 103813597 Error 20 81286124 TotalQUESTION 3 Test if this model is useful. (I want the test stat and the conclusion) O a. F = 13.54, The model is not useful. O b. F = 23.02, The model is useful. O c. F = 13.54, The model is useful. O d.F = 3.20, The model is not useful QUESTION 4 Obtain the Minitab output for this model and fill in the ANOVA table below. (Round to the nearest whole number, except F, which you should round to 2 decimal places) Source Df SS MS F 3631589701 1210529900 8.76 Regression 3 17 2349696423 138217437 Error 20 5981286124 TotalQUESTION 5 Test if this model is useful. (I want the the test stat and the conclusion) 0 a. F = 5.63, The model is not useil O b. F = 5.63, The model is useful Q C. F 2 2.98. The model is useful 0 d. F = 8.55, The model is not useful QUESTION 6 Now test if the squared terms and interaction terms are signicant to the regression model, when taken together, by conducting the partial Ftest. Note that the model in problem 1 is the reduced model and the model in problem 2 is the full model. First, what is the test statistic F\"? (3 decimals) 13.54 Now test if the squared terms and interaction terms are significant to the regression model, when taken together, by conducting the partial F-test. Note that the model in problem 1 is the reduced model and the model in problem 2 is the full model. Second, what is the critical value? QUESTION 8 Now test if the squared terms and interaction terms are significant to the regression model, when taken together, by conducting the partial F-test. Note that the model in problem 1 is the reduced model and the model in problem 2 is the full model. Do you need the higher order terms? O a. We did not reject Ho in the partial F test, so we don't need the higher order terms. O b. We did not reject Ho in the partial F test, so we do need the higher order terms. O c. We rejected Ho in the partial F test, so we don't need the higher order terms. O d. We rejected Ho in the partial F test, so we do need the higher order terms.Now using the appropriate model, write down the prediction equation. Then predict the selling price of a house that has 720 square feet, 4 bedrooms and is 54 years old. First what is your predicted value? 40834.8 QUESTION 10 What is the residual? 19997.2
