Transaction IDSale AmountGenderPayment TypePromotion TypeWeeks After Advertisement150.8FemaleNon-CreditNone2293.5MaleNon-CreditBOGO2370.2FemaleNon-CreditBOGO1436.3FemaleNon-CreditNone0571.5FemaleNon-CreditBOGO1679.7MaleCreditBOGO0760.3FemaleCreditCoupon1874.5MaleCreditNone0986.4FemaleCreditBOGO01020.6MaleCreditNone21139.8MaleCreditNone21267.4MaleNon-CreditCoupon11352.2FemaleNon-CreditCoupon21499.9FemaleCreditNone01568.9MaleNon-CreditCoupon11674.5MaleNon-CreditBOGO01788.5FemaleNon-CreditNone11888FemaleNon-CreditBOGO11964.6FemaleCreditCoupon12055.8FemaleNon-CreditNone22173MaleNon-CreditBOGO12264FemaleCreditCoupon12373.7FemaleCreditBOGO12458.7FemaleCreditCoupon22570.1FemaleNon-CreditCoupon22678.7FemaleCreditCoupon02785.1FemaleCreditBOGO02866.3MaleCreditCoupon12962.8MaleCreditBOGO13075.4FemaleNon-CreditCoupon03153.3FemaleNon-CreditBOGO23265.2FemaleCreditCoupon13359.2MaleNon-CreditCoupon134104.6FemaleNon-CreditCoupon23567.3FemaleNon-CreditNone13651.5MaleNon-CreditCoupon23781.4MaleNon-CreditCoupon03849.6FemaleNon-CreditNone13962.3FemaleCreditCoupon14054.8MaleCreditCoupon24163.4MaleNon-CreditCoupon14247.4MaleCreditNone14365.9MaleCreditCoupon14442.2FemaleCreditNone24536.8MaleNon-CreditNone04688.1FemaleNon-CreditBOGO14757.8MaleNon-CreditCoupon24896.7FemaleCreditBOGO04977FemaleNon-CreditCoupon05093FemaleCreditBOGO05170.5FemaleNon-CreditBOGO15266.5FemaleNon-CreditCoupon15384.4MaleNon-CreditNone05427.6MaleNon-CreditBOGO25559MaleNon-CreditCoupon25649.1MaleNon-CreditNone15754.4FemaleNon-CreditCoupon25863.4FemaleCreditCoupon15995.1FemaleNon-CreditBOGO06069.3FemaleNon-CreditCoupon26172.2FemaleCreditBOGO16239.1MaleCreditNone06369.4FemaleNon-CreditCoupon26460.7MaleNon-CreditCoupon16565.2FemaleNon-CreditCoupon16674.5FemaleCreditBOGO06744.1MaleNon-CreditBOGO26883.1FemaleNon-CreditBOGO06930.3MaleCreditNone27049.8MaleCreditNone17139.5MaleNon-CreditNone07248.9FemaleCreditNone17370.8MaleCreditBOGO17478.5MaleNon-CreditCoupon075107.9FemaleNon-CreditBOGO076101FemaleNon-CreditBOGO27747.3FemaleNon-CreditNone27882FemaleNon-CreditBOGO079110.6FemaleCreditBOGO08073.7FemaleNon-CreditBOGO18127MaleCreditNone28268.9FemaleNon-CreditCoupon18343.2FemaleCreditNone28461.5MaleCreditCoupon18559.5MaleNon-CreditCoupon18628.2MaleNon-CreditNone28783.9FemaleNon-CreditBOGO08850MaleCreditNone18991.4FemaleNon-CreditBOGO09055.8FemaleNon-CreditCoupon29145.4MaleNon-CreditNone292103.8FemaleCreditBOGO29369.5FemaleCreditCoupon29469.6FemaleNon-CreditCoupon29572.9MaleNon-CreditBOGO19667.1FemaleCreditNone19753.8MaleNon-CreditCoupon29894.1FemaleCreditCoupon09958.3FemaleNon-CreditCoupon210086.4FemaleNon-CreditCoupon1 Please show excel procedure The Scenario:Congratulations. You have just inherited your uncle's business, which is a clothing store. Although thebusiness was successful, your uncle was a "seat of the pants" type of businessman. There was never any salesanalysis conducted concerning, e.g. determining the effectiveness of promotional policies. You intend toanalyze past sales data to gain insight into the business operations.On BB, under the folder Term Project, you are going to find PROJDATA.XLSX file. The data in this filecorresponds to a random sample of 100 sales transactions that took place over the previous year. Because alltransactions took place during the previous year and all transactions took place on Saturdays, on non-holidayweekends, 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 questions:4. Can multiple regression be used to “profile" a sale and determine whether a customer is spending moreor less than anticipated, ie, to predict the amount of a sale given the profile of a sale?a) To answer this question, conduct a regression analysis.b) How does the regression analysis support (or not support) your answers to part 1-4 above?What to do?Apply the statistical tools that you have learned in class, to the above question using Microsoft Excel

Given Information: For Gender: Assign 1 as Female and 0 as Male. For Payment credit: Assign 1 as…

The 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. On BB, under the folder Term Project, you are going to find PROJDATA.XLSX file. The 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 questions: 4. Can multiple regression be used to “profile" a sale and determine whether a customer is spending more or less than anticipated, ie, to predict the amount of a sale given the profile of a sale? a) To answer this question, conduct a regression analysis. b) How does the regression analysis support (or not support) your answers to part 1-4 above? What to do? Apply the statistical tools that you have learned in class, to the above question using Microsoft Excel

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Question

Transaction ID	Sale Amount	Gender	Payment Type	Promotion Type	Weeks After Advertisement
1	50.8	Female	Non-Credit	None	2
2	93.5	Male	Non-Credit	BOGO	2
3	70.2	Female	Non-Credit	BOGO	1
4	36.3	Female	Non-Credit	None	0
5	71.5	Female	Non-Credit	BOGO	1
6	79.7	Male	Credit	BOGO	0
7	60.3	Female	Credit	Coupon	1
8	74.5	Male	Credit	None	0
9	86.4	Female	Credit	BOGO	0
10	20.6	Male	Credit	None	2
11	39.8	Male	Credit	None	2
12	67.4	Male	Non-Credit	Coupon	1
13	52.2	Female	Non-Credit	Coupon	2
14	99.9	Female	Credit	None	0
15	68.9	Male	Non-Credit	Coupon	1
16	74.5	Male	Non-Credit	BOGO	0
17	88.5	Female	Non-Credit	None	1
18	88	Female	Non-Credit	BOGO	1
19	64.6	Female	Credit	Coupon	1
20	55.8	Female	Non-Credit	None	2
21	73	Male	Non-Credit	BOGO	1
22	64	Female	Credit	Coupon	1
23	73.7	Female	Credit	BOGO	1
24	58.7	Female	Credit	Coupon	2
25	70.1	Female	Non-Credit	Coupon	2
26	78.7	Female	Credit	Coupon	0
27	85.1	Female	Credit	BOGO	0
28	66.3	Male	Credit	Coupon	1
29	62.8	Male	Credit	BOGO	1
30	75.4	Female	Non-Credit	Coupon	0
31	53.3	Female	Non-Credit	BOGO	2
32	65.2	Female	Credit	Coupon	1
33	59.2	Male	Non-Credit	Coupon	1
34	104.6	Female	Non-Credit	Coupon	2
35	67.3	Female	Non-Credit	None	1
36	51.5	Male	Non-Credit	Coupon	2
37	81.4	Male	Non-Credit	Coupon	0
38	49.6	Female	Non-Credit	None	1
39	62.3	Female	Credit	Coupon	1
40	54.8	Male	Credit	Coupon	2
41	63.4	Male	Non-Credit	Coupon	1
42	47.4	Male	Credit	None	1
43	65.9	Male	Credit	Coupon	1
44	42.2	Female	Credit	None	2
45	36.8	Male	Non-Credit	None	0
46	88.1	Female	Non-Credit	BOGO	1
47	57.8	Male	Non-Credit	Coupon	2
48	96.7	Female	Credit	BOGO	0
49	77	Female	Non-Credit	Coupon	0
50	93	Female	Credit	BOGO	0
51	70.5	Female	Non-Credit	BOGO	1
52	66.5	Female	Non-Credit	Coupon	1
53	84.4	Male	Non-Credit	None	0
54	27.6	Male	Non-Credit	BOGO	2
55	59	Male	Non-Credit	Coupon	2
56	49.1	Male	Non-Credit	None	1
57	54.4	Female	Non-Credit	Coupon	2
58	63.4	Female	Credit	Coupon	1
59	95.1	Female	Non-Credit	BOGO	0
60	69.3	Female	Non-Credit	Coupon	2
61	72.2	Female	Credit	BOGO	1
62	39.1	Male	Credit	None	0
63	69.4	Female	Non-Credit	Coupon	2
64	60.7	Male	Non-Credit	Coupon	1
65	65.2	Female	Non-Credit	Coupon	1
66	74.5	Female	Credit	BOGO	0
67	44.1	Male	Non-Credit	BOGO	2
68	83.1	Female	Non-Credit	BOGO	0
69	30.3	Male	Credit	None	2
70	49.8	Male	Credit	None	1
71	39.5	Male	Non-Credit	None	0
72	48.9	Female	Credit	None	1
73	70.8	Male	Credit	BOGO	1
74	78.5	Male	Non-Credit	Coupon	0
75	107.9	Female	Non-Credit	BOGO	0
76	101	Female	Non-Credit	BOGO	2
77	47.3	Female	Non-Credit	None	2
78	82	Female	Non-Credit	BOGO	0
79	110.6	Female	Credit	BOGO	0
80	73.7	Female	Non-Credit	BOGO	1
81	27	Male	Credit	None	2
82	68.9	Female	Non-Credit	Coupon	1
83	43.2	Female	Credit	None	2
84	61.5	Male	Credit	Coupon	1
85	59.5	Male	Non-Credit	Coupon	1
86	28.2	Male	Non-Credit	None	2
87	83.9	Female	Non-Credit	BOGO	0
88	50	Male	Credit	None	1
89	91.4	Female	Non-Credit	BOGO	0
90	55.8	Female	Non-Credit	Coupon	2
91	45.4	Male	Non-Credit	None	2
92	103.8	Female	Credit	BOGO	2
93	69.5	Female	Credit	Coupon	2
94	69.6	Female	Non-Credit	Coupon	2
95	72.9	Male	Non-Credit	BOGO	1
96	67.1	Female	Credit	None	1
97	53.8	Male	Non-Credit	Coupon	2
98	94.1	Female	Credit	Coupon	0
99	58.3	Female	Non-Credit	Coupon	2
100	86.4	Female	Non-Credit	Coupon	1

Please show excel procedure

Transcribed Image Text:The 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. On BB, under the folder Term Project, you are going to find PROJDATA.XLSX file. The 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 questions: 4. Can multiple regression be used to “profile" a sale and determine whether a customer is spending more or less than anticipated, ie, to predict the amount of a sale given the profile of a sale? a) To answer this question, conduct a regression analysis. b) How does the regression analysis support (or not support) your answers to part 1-4 above? What to do? Apply the statistical tools that you have learned in class, to the above question using Microsoft Excel

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