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 y=69-0.0114x, where
y 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?
O No, the residuals are relatively large.
O No, there is a clear pattern in the residual plot
O Yes, there is no clear pattern in the residual plot
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