Question 17

QUESTION 17 The following results are from data where the dependent variable is the selling price of used cars, the independent variables are similar to those in the above regression along with some additional variables. The data were split into 2 samples and the following regression results were obtained from the split data. SUMMARY OUTPUT Regression Statistics Multiple R 0.846 R Square 0.715 Adjusted R Square 0.653 Standard Error 872.9 Observations 49 ANOVA SS MS Regression 76575468 8508385 11.2 Significance F 9 1.03933E-08 Residual 40 30479336 761983 Total 107054804 Coefficients Standard Error t Stot P-value Intercept 17270.81 2684.71 6.43 0.00 MSRP_Amt 0.35 0.06 5.55 0.00 Manual 384.14 309.3 1.24 0.22 Convertible 814.13 375.34 -2.17 0.04 VINS_6Cylinder 637.40 -64.41 452.57 14.82 -1.41 D.17 Mileage_Sale 0.00 ModelYearAge_Months -276.45 41.09 -4.35 0.00 CondReptAmt -0.50 0.49 -6.73 -1.02 0.31 RepairAmt 1.52 0.70 2.17 0.04 InventoryAge_Days .7.9 10.17 -0.78 0.44 SUMMARY OUTPUT Regression Statistics Multiple R 0.724 Square 0.52 Adjusted R Square 0.42 Standard Error 1622.0 Observations 52 ANOVA of SS MS 116147955 4.90 Significance F Regression 12905328 0.000104741 Residual 40 105247338 2631183 Total 221395293 Coefficients Standard Error t Stot P-value Intercept 13992.20 3169.78 4.41 0.00 MSRP_Amt 0.19 0.07 2.72 0.01 Manual 629.14 459.84 1.37 0.18 Convertible 920.90 1060.78 -0.87 0.39 VINS_6Cylinder 1251.81 752.26 -1.66 0.10 Mileage_Sale -49.71 13.24 -3.75 0.00 ModelYearAge_Months -153.04 55.28 -2.77 CondReptAmt -0.49 0.32 -1.53 0.01 -0.99 0.13 RepairAmt -1.09 1.09 0.3 3 InventoryAge_Days 19.88 7.84 -2.5 0.01 If we wanted to test for heteroscedasticity, what is the test statistic? (please round your answer to 2 decimal places)