Bundle: Statistics for Business & Economics, Loose-Leaf Version, 13th + MindTap Business Statistics with XLSTAT, 1 term (6 months) Printed Access Card
13th Edition
ISBN: 9781337148092
Author: David R. Anderson, Dennis J. Sweeney, Thomas A. Williams, Jeffrey D. Camm, James J. Cochran
Publisher: Cengage Learning
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Textbook Question
Chapter 14.6, Problem 35E
The following data are the monthly salaries y and the grade point averages x for students who obtained a bachelor’s degree in business administration.
| GPA | Monthly Salary ($) |
| 2.6 | 3600 |
| 3.4 | 3900 |
| 3.6 | 4300 |
| 3.2 | 3800 |
| 3.5 | 4200 |
| 2.9 | 3900 |
The estimated regression equation for these data is ŷ = 2090.5 + 581.1x and MSE = 21,284.
- a. Develop a point estimate of the starting salary for a student with a GPA of 3.0.
- b. Develop a 95% confidence interval for the
mean starting salary for all students with a 3.0 GPA. - c. Develop a 95% prediction interval for Ryan Dailey, a student with a GPA of 3.0.
- d. Discuss the differences in your answers to parts (b) and (c).
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Chapter 14 Solutions
Bundle: Statistics for Business & Economics, Loose-Leaf Version, 13th + MindTap Business Statistics with XLSTAT, 1 term (6 months) Printed Access Card
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