Question
Why are residuals squared in the ordinary least-squares objective?
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Correct Answer: D. Squaring prevents positive and negative errors from canceling and penalizes large errors more
Explanation:
Raw residuals can sum near zero even when predictions are poor because their signs differ. Squared residuals are nonnegative and make large deviations especially costly.
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