Consider the following data. Do heavier cars really use more gasoline? Suppose a car is chosen at random. Let x be the weight of the car (in hundreds of pounds), and let y be the miles per gallon (mpg). The following information is based on data taken from Consumer Reports (Vol. 62, No. 4). x 27 47 32 47 23 40 34 52 y 30 22 23 13 29 17 21 14 Given the least squares line = 40.9941 − 0.5263x:
Consider the following data. Do heavier cars really use more gasoline? Suppose a car is chosen at random. Let x be the weight of the car (in hundreds of pounds), and let y be the miles per gallon (mpg). The following information is based on data taken from Consumer Reports (Vol. 62, No. 4). x 27 47 32 47 23 40 34 52 y 30 22 23 13 29 17 21 14 Given the least squares line = 40.9941 − 0.5263x:
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Consider the following data. Do heavier cars really use more gasoline? Suppose a car is chosen at random. Let x be the weight of the car (in hundreds of pounds), and let y be the miles per gallon (mpg). The following information is based on data taken from Consumer Reports (Vol. 62, No. 4).
x | 27 | 47 | 32 | 47 | 23 | 40 | 34 | 52 |
y | 30 | 22 | 23 | 13 | 29 | 17 | 21 | 14 |
Given the least squares line = 40.9941 − 0.5263x:
(a) Make a residual plot for the least-squares model. Be sure to plot the horizontal line at y = 0.
(b) Use the residual plot to comment about the appropriateness of the least squares model for these data.
(b) Use the residual plot to comment about the appropriateness of the least squares model for these data.
The residuals do not seem to be scattered randomly around the horizontal line at 0. There do not appear to be any outliers.The residuals seem to be scattered randomly around the horizontal line at 0. There do not appear to be any outliers. The residuals do not seem to be scattered randomly around the horizontal line at 0. There do appear to be outliers.The residuals seem to be scattered randomly around the horizontal line at 0. There do appear to be outliers.
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