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.
Chapter13: Regression And Forecasting Models
Section: Chapter Questions
Problem 34P: A small computer chip manufacturer wants to forecast monthly ozperating costs as a function of the...
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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.
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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