Statistics: The Art and Science of Learning from Data (4th Edition)

4th Edition

ISBN: 9780321997838

Author: Alan Agresti, Christine A. Franklin, Bernhard Klingenberg

Publisher: PEARSON

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Textbook Question

Chapter 13.1, Problem 11PB

Used cars The following data (also available from the book’s website) is from a random sample of campus newspaper ads on used cars for sale. Consider the age and horsepower (HP) of a car to predict its selling price. (The variable Type stands for whether the car is from the United States, coded as 1, or a foreign car, coded as 0.

This variable will be considered in exercise 13.48.)

a. Construct a scatterplot matrix (or separate scatterplots) to investigate the relationship among price, age, and horsepower and interpret.
b. Find the multiple regression prediction equation for the selling price in terms of age and horsepower of a car. What is the predicted price for a car that has a horsepower of 80 and (i) is 8 years old, (ii) 10 years old, rounded to the nearest hundred?
c. Based on this multiple regression, can you predict the price difference between a car with 60 HP and a car with 80 HP without knowing the ages of the two cars? Explain.

Chapter 13.1, Problem 11PB, Used cars The following data (also available from the books website) is from a random sample of

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Chapter 13.1, Problem 10PB

Chapter 13.2, Problem 12PB

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Chapter 13 Solutions

Statistics: The Art and Science of Learning from Data (4th Edition)

Ch. 13.1 - Predicting weight For a study of female college...Ch. 13.1 - Prob. 2PB Ch. 13.1 - Predicting college GPA For all students at Walden...Ch. 13.1 - Prob. 4PB Ch. 13.1 - Does more education cause more crime? The FL Crime...Ch. 13.1 - Crime rate and income Refer to the previous...Ch. 13.1 - The economics of golf The earnings of a PGA Tour...Ch. 13.1 - Prob. 8PB Ch. 13.1 - Controlling can have no effect Suppose that the...Ch. 13.1 - House selling prices Using software with the House...

Ch. 13.1 - Used cars The following data (also available from...Ch. 13.2 - Predicting sports attendance Keeneland Racetrack...Ch. 13.2 - Predicting weight Lets use multiple regression to...Ch. 13.2 - Prob. 14PB Ch. 13.2 - Price of used cars For the 19 used cars listed in...Ch. 13.2 - Prob. 16PB Ch. 13.2 - Softball data For the Softball data set on the...Ch. 13.2 - Slopes, correlations, and units In Example 2 on y...Ch. 13.2 - Predicting college GPA Using software with the...Ch. 13.3 - Predicting GPA For the 59 observations in the...Ch. 13.3 - Study time help GPA? Refer to the previous...Ch. 13.3 - Variability in college GPA Refer to the previous...Ch. 13.3 - Does leg press help predict body strength? Chapter...Ch. 13.3 - Prob. 24PB Ch. 13.3 - Interpret strength variability Refer to the...Ch. 13.3 - Any predictive power? Refer to the previous three...Ch. 13.3 - Predicting pizza revenue Aunt Ermas Pizza...Ch. 13.3 - Prob. 28PB Ch. 13.3 - Mental health again Refer to the previous...Ch. 13.3 - Prob. 30PB Ch. 13.3 - House prices Use software to do further analyses...Ch. 13.4 - Body weight residuals Examples 47 used multiple...Ch. 13.4 - Strength residuals In Chapter 12, we analyzed...Ch. 13.4 - Prob. 34PB Ch. 13.4 - Nonlinear effects of age Suppose you fit a...Ch. 13.4 - Prob. 36PB Ch. 13.4 - Why inspect residuals? When we use multiple...Ch. 13.4 - College athletes The College Athletes data set on...Ch. 13.4 - House prices Use software with the House Selling...Ch. 13.4 - Prob. 40PB Ch. 13.5 - U.S. and foreign used cars Refer to the used car...Ch. 13.5 - Prob. 42PB Ch. 13.5 - Predict using house size and condition For the...Ch. 13.5 - Quality and productivity The table shows data from...Ch. 13.5 - Predicting hamburger sales A chain restaurant that...Ch. 13.5 - Prob. 46PB Ch. 13.5 - House size and garage interact? Refer to the...Ch. 13.5 - Prob. 48PB Ch. 13.5 - Comparing sales You own a gift shop that has a...Ch. 13.6 - Prob. 50PB Ch. 13.6 - Prob. 51PB Ch. 13.6 - Prob. 52PB Ch. 13.6 - Prob. 53PB Ch. 13.6 - Prob. 54PB Ch. 13.6 - Prob. 55PB Ch. 13.6 - Prob. 56PB Ch. 13.6 - Prob. 57PB Ch. 13.6 - Prob. 58PB Ch. 13.6 - Prob. 59PB Ch. 13 - House prices This chapter has considered many...Ch. 13 - Prob. 61CP Ch. 13 - Prob. 62CP Ch. 13 - Prob. 63CP Ch. 13 - Prob. 64CP Ch. 13 - Prob. 65CP Ch. 13 - Prob. 66CP Ch. 13 - Prob. 67CP Ch. 13 - Prob. 68CP Ch. 13 - Prob. 69CP Ch. 13 - AIDS and AZT In a study (reported in the New York...Ch. 13 - Factors affecting first home purchase The table...Ch. 13 - Unemployment and GDP Refer to Exercise 13.67. When...Ch. 13 - Prob. 75CP Ch. 13 - Prob. 76CP Ch. 13 - Prob. 77CP Ch. 13 - Prob. 78CP Ch. 13 - Prob. 79CP Ch. 13 - True or false: Slopes For data on y = college GPA,...Ch. 13 - Prob. 81CP Ch. 13 - Lurking variable Give an example of three...Ch. 13 - Prob. 83CP Ch. 13 - Prob. 84CP Ch. 13 - Prob. 85CP Ch. 13 - Logistic versus linear For binary response...Ch. 13 - Prob. 87CP Ch. 13 - Prob. 88CP Ch. 13 - Prob. 89CP Ch. 13 - Prob. 90CP Ch. 13 - Prob. 91CP Ch. 13 - Prob. 92CP Ch. 13 - Prob. 93CP

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Solution Summary: The author explains how to draw a scatterplot matrix to explore the relationship between price, age, and horsepower.

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Chapter 13 Solutions