Which of the following describes a significant statistical risk when utilizing a linear regression model for 'extrapolation'?

Correct answer: B) Predicting values entirely outside the historical data range assumes the historical linear relationship continues indefinitely, which may prove violently false.

Explanation

Extrapolation implies forecasting outcomes beyond the limits of the sampled data. This is highly risky because the established linear relationship might flatten out, curve, or break down completely at extreme, untested levels.