We appreciate your visit to For this data set the least squares regression line is tex y 1 11x 68 17 tex where tex x tex represents the weight of. This page offers clear insights and highlights the essential aspects of the topic. Our goal is to provide a helpful and engaging learning experience. Explore the content and find the answers you need!
Answer :
Answer:
Option c) this is considered an extrapolation, correctly identifies this as the reason the prediction is not accurate.
Explanation:
The reason the prediction is not accurate is because this is considered an extrapolation.
Extrapolation involves making predictions or estimations beyond the range of known data. In this case, the given least squares regression line is based on the data set, but it is being used to predict the mpg rating for a car weighing 5000 pounds. However, the regression line is only valid for the range of weights present in the data set. If there are no cars in the data set that weighed 5000 pounds, then using the regression line to predict the mpg rating for a car weighing 5000 pounds would be extrapolating beyond the known data range.
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