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An engineer is interested in the relationship between the weight of a car (measured in pounds) and the fuel economy (measured in miles per gallon of gas). To investigate the relationship, she collects a simple random sample of 10 cars and records their weight and fuel efficiency. She finds the equation of the least-squares regression line to be ŷ = 69 – 0.0114x, where ŷ is the fuel efficiency (mpg) and x is the weight (in pounds). The residual plot is shown.
Based on the residual plot, is the linear model appropriate?
No, the residuals are relatively large.
No, there is a clear pattern in the residual plot.
Yes, there is no clear pattern in the residual plot.
Yes, about half of the residuals are positive and half are negative.
Sagot :
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