he 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. If we wanted to test for heteroscedasticity, what would be the null and alternative hypothesis? *please write out the null and alternative hypotheses below AND on scratch work*

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16) 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. If we wanted to test for heteroscedasticity, what would be the null and alternative hypothesis? *please write out the null and alternative hypotheses below AND on scratch work*
Regression Statistics
Multiple R
R Square
Adjusted R Square
0.846
0.715
0.653
Standard Error
872.9
Observations
49
ANOVA
df
SS
MS
Significance F
Regression
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
Mileage_Sale
ModelYearAge_Months
CondReptAmt
RepairAmt
-637.40
452.57
-1,41
0.17
-64.41
14.82
-4.35
0.00
-276.45
41.09
-6.73
0.00
-0.50
0.49
-1.02
0.31
1.52
0.70
2.17
0.04
InventoryAge_Days
-7.91
10,17
-0.78
0.44
SUMMARY OUTPUT
Regression Statistics
Multiple R
R Square
0.724
0.524
Adjusted R Square
Standard Error
0.423
1622.0
Observations
52
ANOVA
df
MS
Significance F
0.000104741
Regression
116147955
12905328
4.90
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
Mileage_Sale
ModelYearAge_Months
CondReptAmt
RepairAmt
InventoryAge_Days
-1251.81
752.26
-1.66
0.10
-49.71
13.24
-3.75
0.00
-153.04
55.28
-2.77
0.01
-0.49
0.32
-1.53
0.13
-1.09
1.09
-0.99
0.33
-19.88
7.84
-2.54
0.01
Transcribed Image Text:Regression Statistics Multiple R R Square Adjusted R Square 0.846 0.715 0.653 Standard Error 872.9 Observations 49 ANOVA df SS MS Significance F Regression 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 Mileage_Sale ModelYearAge_Months CondReptAmt RepairAmt -637.40 452.57 -1,41 0.17 -64.41 14.82 -4.35 0.00 -276.45 41.09 -6.73 0.00 -0.50 0.49 -1.02 0.31 1.52 0.70 2.17 0.04 InventoryAge_Days -7.91 10,17 -0.78 0.44 SUMMARY OUTPUT Regression Statistics Multiple R R Square 0.724 0.524 Adjusted R Square Standard Error 0.423 1622.0 Observations 52 ANOVA df MS Significance F 0.000104741 Regression 116147955 12905328 4.90 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 Mileage_Sale ModelYearAge_Months CondReptAmt RepairAmt InventoryAge_Days -1251.81 752.26 -1.66 0.10 -49.71 13.24 -3.75 0.00 -153.04 55.28 -2.77 0.01 -0.49 0.32 -1.53 0.13 -1.09 1.09 -0.99 0.33 -19.88 7.84 -2.54 0.01
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