Business Statistics: A First Course (8th Edition)
8th Edition
ISBN: 9780135177785
Author: David M. Levine, Kathryn A. Szabat, David F. Stephan
Publisher: PEARSON
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Suppose you a manager for a local car dealership, and you want to use a linear
regression model to predict the price of a used car. You decide to use four
predictor variables - "Age' (how long the car has been in use since it was
produced), "Dents" (the number of visible dents on the outside of the car),
"Accidents" (the number of accidents the car has been in), and "mpg" (the fuel
efficiency of the car, measured in miles per gallon). Your dataset contains this
information for the past 120 cars sold at your dealership. Using this model, your
analysis finds an R² of 37%. What is the F statistic of your analysis?
Note:
1- Only round your final answer. Round your final answer to two decimal
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If the point representing 64 wins and attendance of 40,786, people per game is removed from the set of data and a new regression analysis is conducted, how would the following be mpacted?
Suppose you are estimating a wage regression, where salary is the dependent
variable and age, years of education and a dummy variable for male are your
independent variables. You are interested in measuring how salary differs between
those who have at least a college education with those who have less than a college
education. If a person is considered as having a college education when she has
more than 12 years of education, how can you measure the difference in salary
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