In the scenario as described in Question 3, Sarah now used the regression line she obtained to predict the weight of her three-year old niece, who is 34 inches tall. The predicted weight for her niece, however, turned out to be 0 lb. What is the problem with Sarah's prediction? A) Sarah must have incorrectly estimated the intercept of the regression line. B) The regression line was correct, but a computational error was made in the prediction. C) Sarah should have included the error term (e_i) in the regression model when she made the prediction. D) Sarah was extrapolating beyond the sample predictor data. E) There is no problem with Sarah's prediction. This is how statistics work.

Question

Quizplus · Accepted Answer

Sarah was likely extrapolating beyond the range of the data used to create the regression model, leading to an unrealistic prediction.

In the Scenario as Described in Question 3, Sarah Now