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)

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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

 

 

 

 

 

 

 

 

 

 

 

  1.  

Regression Statistics

 

 

 

 

  1.  

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

 



  1.  

SUMMARY OUTPUT

 

 

 

 

 

 

 

 

 

 

 

  1.  

Regression Statistics

 

 

 

 

  1.  

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

 


  1. If we wanted to test for heteroscedasticity, what is the test statistic? (please round your answer to 2 decimal places)
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