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:
Calculus For The Life Sciences
2nd Edition
ISBN:9780321964038
Author:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Publisher:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Chapter1: Functions
Section1.2: The Least Square Line
Problem 10E: LIFE SCIENCE APPLICATIONS Bird Eggs The average length and width of various bird eggs are given in...
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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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