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 hetero

Functions and Change: A Modeling Approach to College Algebra (MindTap Course List)
6th Edition
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Author:Bruce Crauder, Benny Evans, Alan Noell
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Chapter5: A Survey Of Other Common Functions
Section5.6: Higher-degree Polynomials And Rational Functions
Problem 14SBE: Quartic Regression In Exercise S-8 through S-14, use regression to find a quartic model for the...
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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**
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
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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