Essentials of Modern Business Statistics with Microsoft Office Excel (Book Only)
7th Edition
ISBN: 9781337298353
Author: David R. Anderson, Dennis J. Sweeney, Thomas A. Williams
Publisher: South-Western College Pub
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Chapter 15.7, Problem 33E
Consider a regression study involving a dependent variable y, a quantitative independent variable
- How many dummy variables are required to represent the categorical variable?
- Write a multiple regression equation relating and the categorical variable to y.
- Interpret the parameters in your regression equation.
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The St. Lucian Government is interested in predicting the number of weekly riders on the public buses using the following variables:
• • • •
Price of bus trips per weekThe population in the cityThe monthly income of ridersAverage rate to park your personal vehicle
Determine the multiple regression equation for the data.
What is the predicted value of the number of weekly riders if: price of bus trips per week = $24; population = $2,000,000; the monthly income of riders = $13,500; and average rate to park your personal vehicle = $150.
Interpret the coefficient of determination.
Bill wants to explore factors affecting work stress. He would like to examine the relationship between age, number of years at the workplace, perceived social support, and work stress. He collects data on the variables from 100 employees (males and females) working in banks.
The research question is
How accurately can work stress be predicted from linear combination of the predictors (age, social support, number of years at the workplace)?
Conduct a multiple regression analysis to answer the following questions:
What is the regression equation for all the predictors?
Write a results section based on your analysis that answers the research question.
Bill wants to explore factors affecting work stress. He would like to examine the relationship between age, number of years at the workplace, perceived social support, and work stress. He collects data on the variables from 100 employees (males and females) working in banks.
The research question is
How accurately can work stress be predicted from linear combination of the predictors (age, social support, number of years at the workplace)?
Conduct a multiple regression analysis to answer the following questions:
What is the relationship of age, number of years, and social support with work stress?
Is the regression significant? If yes, what does it indicate?
Chapter 15 Solutions
Essentials of Modern Business Statistics with Microsoft Office Excel (Book Only)
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