A) The analysis needs to be re-run adding the error into the regression sum of squares.
B) Number of push-ups a student does does not accurately predict the number of sit-ups a student can do.
C) Lack of fit means there isn't enough data in the sample to get an accurate regression equation but the equation could help to make some predictions.
D) There may be a better model than linear but a linear model could be used to make predictions.
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