Bundle: Essentials Of Statistics For Business And Economics, Loose-leaf Version, 8th + Lms Integrated For Mindtap Business Statistics, 1 Term (6 Months) Printed Access Card
Bundle: Essentials Of Statistics For Business And Economics, Loose-leaf Version, 8th + Lms Integrated For Mindtap Business Statistics, 1 Term (6 Months) Printed Access Card
8th Edition
ISBN: 9781337589161
Author: David R. Anderson, Dennis J. Sweeney, Thomas A. Williams, Jeffrey D. Camm, James J. Cochran
Publisher: Cengage Learning
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Chapter 15, Problem 53SE

Recall that in exercise 50 the personnel director for Electronics Associates developed the following estimated regression equation relating an employee’s score on a job satisfaction test to length of service and wage rate.

ŷ = 14.41 − 8.69x1 1 13.52x2

where

x1 = length of service (years)

x2 = wage rate (dollars)

y = job satisfaction test score (higher scores indicate greater job satisfaction)

A portion of the Minitab computer output follows.

Analysis of Variance

Chapter 15, Problem 53SE, Recall that in exercise 50 the personnel director for Electronics Associates developed the following , example  1

Model Summary

Chapter 15, Problem 53SE, Recall that in exercise 50 the personnel director for Electronics Associates developed the following , example  2

Coefficients

Chapter 15, Problem 53SE, Recall that in exercise 50 the personnel director for Electronics Associates developed the following , example  3

Regression Equation

y = 14.41 − 8.69 X1 + 13.52 X2

  1. a. Complete the missing entries in this output.
  2. b. Compute F and test using α = .05 to see whether a significant relationship is present.
  3. c. Did the estimated regression equation provide a good fit to the data? Explain.
  4. d. Use the t test and α = .05 to test H0: α1 = 0 and H0: β2 = 0.
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Chapter 15 Solutions

Bundle: Essentials Of Statistics For Business And Economics, Loose-leaf Version, 8th + Lms Integrated For Mindtap Business Statistics, 1 Term (6 Months) Printed Access Card

Ch. 15.3 - In exercise 1, the following estimated regression...Ch. 15.3 - Prob. 12ECh. 15.3 - 13. In exercise 3, the following estimated...Ch. 15.3 - In exercise 4, the following estimated regression...Ch. 15.3 - Prob. 15ECh. 15.3 - 16. In exercise 6, data were given on the average...Ch. 15.3 - Prob. 17ECh. 15.3 - R2 in Predicting Baseball Pitcher Performance....Ch. 15.5 - In exercise 1, the following estimated regression...Ch. 15.5 - Prob. 20ECh. 15.5 - The following estimated regression equation was...Ch. 15.5 - Testing Significance in Shoe Sales Prediction. In...Ch. 15.5 - Testing Significance in Theater Revenue. Refer to...Ch. 15.5 - Testing Significance in Predicting NFL Wins. The...Ch. 15.5 - Prob. 25ECh. 15.5 - Testing Significance in Baseball Pitcher...Ch. 15.6 - In exercise 1, the following estimated regression...Ch. 15.6 - Prob. 28ECh. 15.6 - Prob. 29ECh. 15.6 - Prob. 31ECh. 15.7 - Consider a regression study involving a dependent...Ch. 15.7 - Consider a regression study involving a dependent...Ch. 15.7 - 34. Management proposed the following regression...Ch. 15.7 - Repair Time. Refer to the Johnson Filtration...Ch. 15.7 - Extending Model for Repair Time. This problem is...Ch. 15.7 - 37. The Consumer Reports Restaurant Customer...Ch. 15.9 - In Table 15.12 we provided estimates of the...Ch. 15 - 49. The admissions officer for Clearwater College...Ch. 15 - 50. The personnel director for Electronics...Ch. 15 - Prob. 51SECh. 15 - Prob. 52SECh. 15 - Recall that in exercise 50 the personnel director...Ch. 15 - Analyzing Repeat Purchases. The Tire Rack,...Ch. 15 - Prob. 55SECh. 15 - Mutual Fund Returns. A portion of a data set...Ch. 15 - Prob. 57SECh. 15 - Consumer Research, Inc., is an independent agency...Ch. 15 - Matt Kenseth won the 2012 Daytona 500, the most...Ch. 15 - When trying to decide what car to buy, real value...
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