MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN: 9781119256830
Author: Amos Gilat
Publisher: John Wiley & Sons Inc
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Question

Note: use excel only please (regression). thank you!

1  $              50.80 Female Non-Credit None 2
2  $              93.50 Male Non-Credit BOGO 2
3  $              70.20 Female Non-Credit BOGO 1
4  $              36.30 Female Non-Credit None 0
5  $              71.50 Female Non-Credit BOGO 1
6  $              79.70 Male Credit BOGO 0
7  $              60.30 Female Credit Coupon 1
8  $              74.50 Male Credit None 0
9  $              86.40 Female Credit BOGO 0
10  $              20.60 Male Credit None 2
11  $              39.80 Male Credit None 2
12  $              67.40 Male Non-Credit Coupon 1
13  $              52.20 Female Non-Credit Coupon 2
14  $              99.90 Female Credit None 0
15  $              68.90 Male Non-Credit Coupon 1
16  $              74.50 Male Non-Credit BOGO 0
17  $              88.50 Female Non-Credit None 1
18  $              88.00 Female Non-Credit BOGO 1
19  $              64.60 Female Credit Coupon 1
20  $              55.80 Female Non-Credit None 2
21  $              73.00 Male Non-Credit BOGO 1
22  $              64.00 Female Credit Coupon 1
23  $              73.70 Female Credit BOGO 1
24  $              58.70 Female Credit Coupon 2
25  $              70.10 Female Non-Credit Coupon 2
26  $              78.70 Female Credit Coupon 0
27  $              85.10 Female Credit BOGO 0
28  $              66.30 Male Credit Coupon 1
29  $              62.80 Male Credit BOGO 1
30  $              75.40 Female Non-Credit Coupon 0
31  $              53.30 Female Non-Credit BOGO 2
32  $              65.20 Female Credit Coupon 1
33  $              59.20 Male Non-Credit Coupon 1
34  $            104.60 Female Non-Credit Coupon 2
35  $              67.30 Female Non-Credit None 1
36  $              51.50 Male Non-Credit Coupon 2
37  $              81.40 Male Non-Credit Coupon 0
38  $              49.60 Female Non-Credit None 1
39  $              62.30 Female Credit Coupon 1
40  $              54.80 Male Credit Coupon 2
41  $              63.40 Male Non-Credit Coupon 1
42  $              47.40 Male Credit None 1
43  $              65.90 Male Credit Coupon 1
44  $              42.20 Female Credit None 2
45  $              36.80 Male Non-Credit None 0
46  $              88.10 Female Non-Credit BOGO 1
47  $              57.80 Male Non-Credit Coupon 2
48  $              96.70 Female Credit BOGO 0
49  $              77.00 Female Non-Credit Coupon 0
50  $              93.00 Female Credit BOGO 0
51  $              70.50 Female Non-Credit BOGO 1
52  $              66.50 Female Non-Credit Coupon 1
53  $              84.40 Male Non-Credit None 0
54  $              27.60 Male Non-Credit BOGO 2
55  $              59.00 Male Non-Credit Coupon 2
56  $              49.10 Male Non-Credit None 1
57  $              54.40 Female Non-Credit Coupon 2
58  $              63.40 Female Credit Coupon 1
59  $              95.10 Female Non-Credit BOGO 0
60  $              69.30 Female Non-Credit Coupon 2
61  $              72.20 Female Credit BOGO 1
62  $              39.10 Male Credit None 0
63  $              69.40 Female Non-Credit Coupon 2
64  $              60.70 Male Non-Credit Coupon 1
65  $              65.20 Female Non-Credit Coupon 1
66  $              74.50 Female Credit BOGO 0
67  $              44.10 Male Non-Credit BOGO 2
68  $              83.10 Female Non-Credit BOGO 0
69  $              30.30 Male Credit None 2
70  $              49.80 Male Credit None 1
71  $              39.50 Male Non-Credit None 0
72  $              48.90 Female Credit None 1
73  $              70.80 Male Credit BOGO 1
74  $              78.50 Male Non-Credit Coupon 0
75  $            107.90 Female Non-Credit BOGO 0
76  $            101.00 Female Non-Credit BOGO 2
77  $              47.30 Female Non-Credit None 2
78  $              82.00 Female Non-Credit BOGO 0
79  $            110.60 Female Credit BOGO 0
80  $              73.70 Female Non-Credit BOGO 1
81  $              27.00 Male Credit None 2
82  $              68.90 Female Non-Credit Coupon 1
83  $              43.20 Female Credit None 2
84  $              61.50 Male Credit Coupon 1
85  $              59.50 Male Non-Credit Coupon 1
86  $              28.20 Male Non-Credit None 2
87  $              83.90 Female Non-Credit BOGO 0
88  $              50.00 Male Credit None 1
89  $              91.40 Female Non-Credit BOGO 0
90  $              55.80 Female Non-Credit Coupon 2
91  $              45.40 Male Non-Credit None 2
92  $            103.80 Female Credit BOGO 2
93  $              69.50 Female Credit Coupon 2
94  $              69.60 Female Non-Credit Coupon 2
95  $              72.90 Male Non-Credit BOGO 1
96  $              67.10 Female Credit None 1
97  $              53.80 Male Non-Credit Coupon 2
98  $              94.10 Female Credit Coupon 0
99  $              58.30 Female Non-Credit Coupon 2
100  $              86.40 Female Non-Credit Coupon 1
Case Scenario: Congratulations. You have just inherited your uncle's business, which is a clothing store. Although the business was successful, your uncle was a "seat of the pants" type of businessman. There was never any sales analysis conducted concerning, e.g. determining the effectiveness of promotional policies. You intend to analyze past sales data to gain insight into the business operations. The following data in this file corresponds to a random sample of 100 sales transactions that took place over the previous year. Because all transactions took place during the previous year and all transactions took place on Saturdays, on non-holiday weekends, you are confident that seasonal and cyclical effects are absent from the data. The Analysis: Based on this sample, you seek to answer the following question: 1. Can multiple regression be used to "profile" a sale and determine whether a customer is spending more or less than anticipated, i.e. to predict the amount of a sale given the profile ofa sale? a) To answer this question, conduct a regression analysis.
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Transcribed Image Text:Case Scenario: Congratulations. You have just inherited your uncle's business, which is a clothing store. Although the business was successful, your uncle was a "seat of the pants" type of businessman. There was never any sales analysis conducted concerning, e.g. determining the effectiveness of promotional policies. You intend to analyze past sales data to gain insight into the business operations. The following data in this file corresponds to a random sample of 100 sales transactions that took place over the previous year. Because all transactions took place during the previous year and all transactions took place on Saturdays, on non-holiday weekends, you are confident that seasonal and cyclical effects are absent from the data. The Analysis: Based on this sample, you seek to answer the following question: 1. Can multiple regression be used to "profile" a sale and determine whether a customer is spending more or less than anticipated, i.e. to predict the amount of a sale given the profile ofa sale? a) To answer this question, conduct a regression analysis.
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