1. Plot the data. 2. Obtain a linear regression line for the data. 3. What percentage of the variation is explained by the regression line? 4. Use the equation determined in part b to predict the expected value of y for x = 41.
1. Plot the data. 2. Obtain a linear regression line for the data. 3. What percentage of the variation is explained by the regression line? 4. Use the equation determined in part b to predict the expected value of y for x = 41.
Practical Management Science
6th Edition
ISBN:9781337406659
Author:WINSTON, Wayne L.
Publisher:WINSTON, Wayne L.
Chapter2: Introduction To Spreadsheet Modeling
Section: Chapter Questions
Problem 20P: Julie James is opening a lemonade stand. She believes the fixed cost per week of running the stand...
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c3q26
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![26. The following data were collected during a study of consumer buying patterns:
Observation
1
2
3
4
LO
5
6
7
8
9
10
11
12
13
X y
15 74
25
80
40 84
32 81
51 96
47 95
30 83
18 78
14 70
15
72
22 85
24
88
33 90
1. Plot the data.
2. Obtain a linear regression line for the data.
3. What percentage of the variation is explained by the regression line?
4. Use the equation determined in part b to predict the expected value of y for x = 41.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F750c56f4-e2f5-4612-8cdd-33bcc9ce0d6b%2F2233ddb7-91a9-40a0-8f87-fbcb375c24f5%2Fld4hwgr_processed.png&w=3840&q=75)
Transcribed Image Text:26. The following data were collected during a study of consumer buying patterns:
Observation
1
2
3
4
LO
5
6
7
8
9
10
11
12
13
X y
15 74
25
80
40 84
32 81
51 96
47 95
30 83
18 78
14 70
15
72
22 85
24
88
33 90
1. Plot the data.
2. Obtain a linear regression line for the data.
3. What percentage of the variation is explained by the regression line?
4. Use the equation determined in part b to predict the expected value of y for x = 41.
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