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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

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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