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MATLAB: An Introduction with Applications
6th Edition
ISBN: 9781119256830
Author: Amos Gilat
Publisher: John Wiley & Sons Inc
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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. If we wanted to test for heteroscedasticity, what is the test statistic?
(please round your answer to 2 decimal places)
**I explicitly need to know the test statistic**

Transcribed Image Text:Regression Statistics
Multiple R
R Square
Adjusted R Square
Standard Error
0.846
0.715
0.653
872.9
Observations
49
ANOVA
df
SS
MS
Regression
6.
Significance F
76575468
8508385
11.2
Residual
1.03933E-08
40
30479336
761983
Total
49
107054804
Coefficients
Standard Error t Stat
P-value
Intercept
MSRP_Amt
17270.81
2684.71
6.43
0.00
0.35
0.06
Manual
5.55
0.00
384.14
309.31
Convertible
1.24
0.22
-814.13
375.34
-2.17
0.04
VIN8_6Cylinder
Mileage_Sale
ModelYearAge_Months
CondReptAmt
RepairAmt
InventoryAge_Days
-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
-7.91
10.17
-0.78
0.44
SUMMARY OUTPUT
Regression Statistics
Multiple R
R Square
Adjusted R Square
0.724
0.524
0.423
Standard Error
1622.0
Observations
52
ANOVA
df
MS
Significance F
Regression
Residual
116147955
12905328
4.90
0.000104741
40
105247338
2631183
Total
49
221395293
Coefficients
Standard Error t Stat
P-value
Intercept
MSRP_Amt
13992.20
3169.78
4.41
0.00
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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