Ref to Q 1: https://www.chegg.com/homework-help/questions-and-answers/dry-goods-sales-data-weekly-sales-dry-goods-department-wal-mart-store-northeast-peak-value-q24805903 Q 2: Modeling the data quadratically - a. Generate a...
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Ref to Q 1: https://www.chegg.com/homework-help/questions-and-answers/dry-goods-sales-data-weekly-sales-dry-goods-department-wal-mart-store-northeast-peak-value-q24805903
Q 2: Modeling the data quadratically - a. Generate a quadratic model for this data. b. What is the marginal revenue for this department using this model? c. Calculate the model generated relative max/min value. Show backup analytical work. d. Compare actual and model generated relative max/min value.
Data:
Dry Goods Sales
The data is for weekly sales in the dry goods department at a Wal*Mart store in the Northeast. Peak values, I.e. spikes, usually occur at holiday periods. Week 1 is the first week of February 2002. To show continuity, week 1 of 2003 is represented as week 54 since week 53 represents the end of fiscal 2002 and start of the 2003 fiscal year. Dollar values are adjusted in order to disguise true sales figures, but trends in the data are retained for analysis puposes.
Week
Sales in $
26
15200
27
15600
28
16400
29
15600
30
14200
31
14400
32
16400
33
15200
34
14400
35
13800
36
15000
37
14100
38
14400
39
14000
40
15600
41
15000
42
14400
43
17800
44
15000
45
15200
46
15800
47
18600
48
15400
49
15500
50
16800
51
18700
52
21400
53
20900
54
18800
55
22400
56
19400
57
20000
58
18100
59
18000
60
19600
61
19000
62
19200
63
18000
64
17600
65
17200
66
19800
67
19600
68
19600
69
20000
70
20800
71
22800
72
23000
73
20800
74
25000
75
30600
76
24000
77
21200
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