In Chapter 11, the regression of retail sales per household on disposable income per household was estimated by least squares. The data are given in Table 11.1, and Table 11.2 shows the residuals and the predicted values of the dependent variable. Use the data file Retail Sales.
a. Graphically check for heteroscedasticity in the regression errors.
b. Check for heteroscedasticity by using a formal test.
Table 11.1
RETAIL STORE
INCOME (X)
RETAIL SALES (Y)
1
$55,641
$21,886
12
$57,850
$22,301
2
$55,681
$21,934
13
$57,975
$22,518
3
$55,637
$21,699
14
$57,992
$22,580
4
$55,825
$21,901
15
$58,240
$22,618
5
$55,772
$21,812
16
$58,414
$22,890
6
$55,890
$21,714
17
$58,561
$23,112
7
$56,068
$21,932
18
$59,066
$23,315
8
$56,299
$22,086
19
$58,596
$22,865
9
$56,825
$22,265
20
$58,631
$22,788
10
$57,205
$22,551
21
$58,758
$22,949
11
$57,562
$22,736
22
$59,037
$23,149
Table 11.2
Retail
Observed
Predicted
Income
Sales Predicted
Deviation from
Store
(X)
(Y) Retail Sales
Residual
the Mean
55,641
21,886 21,787
99
-550
-649
55,681
21,934 21,803
131
-502
-633
55,637
21,699 21,786
-87
-737
-650
55,825
21,901 21,858
43
-535
-578
55,772
21,812 21,837
-25
-624
-599
55,890
21,714 21,882
-168
-722
-554
56,068
21,932 21,950
-18
-504
-486
56,299
22,086 22,039
48
-350
-398
56,825
22,265 22,239
26
-171
-197
57,205
22,551 22,384
167
115
-52
57,562
22,736 22,520
216
300
84
57,850
22,301 22,630
-329
-135
194
57,975
22,518 22,678
-160
82
242
57,992
22,580 22,684
-104
144
248
58,240
22,618 22,779
-161
182
343
58,414
22,890 22,845
45
454
409
58,561
23,112 22,902
211
676
465
59,066
23,315 23,094
221
879
658
58,596
22,865 22,915
-50
429
479
58,631
22,788 22,928
-140
352
492
58,758
22,949 22,977
-28
513
541
59,037
23,149 23,083
66
713
647
Sum of squared values
436,127
5,397,565
4,961,438
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