Question

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 df SS MS F Significance F Regression 9 76575468 8508385 11.2 1.03933E-08 Residual 40 30479336 761983 Total 49 107054804 Coefficients Standard Error t Stat P-value Intercept 17270.81 2684.71 6.43 0.00 MSRP_Amt 0.35 0.06 5.55 0.00 Manual 384.14 309.31 1.24 0.22 Convertible -814.13 375.34 -2.17 0.04 VIN8_6Cylinder -637.40 452.57 -1.41 0.17 Mileage_Sale -64.41 14.82 -4.35 0.00 ModelYearAge_Months -276.45 41.09 -6.73 0.00 CondReptAmt -0.50 0.49 -1.02 0.31 RepairAmt 1.52 0.70 2.17 0.04 InventoryAge_Days -7.91 10.17 -0.78 0.44 SUMMARY OUTPUT Regression Statistics Multiple R 0.724 R Square 0.524 Adjusted R Square 0.423 Standard Error 1622.0 Observations 52 ANOVA df SS MS F Significance F Regression 9 116147955 12905328 4.90 0.000104741 Residual 40 105247338 2631183 Total 49 221395293 Coefficients Standard Error t Stat 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 VIN8_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 0.01 CondReptAmt -0.49 0.32 -1.53 0.13 RepairAmt -1.09 1.09 -0.99 0.33 InventoryAge_Days -19.88 7.84 -2.54 0.01 If we wanted to test for heteroscedasticity, what is the test statistic? (please round your answer to 2 decimal places)

Answer 1