Question
Why is approximate normality of residuals often discussed in linear regression?
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Correct Answer: A. It supports common small-sample confidence intervals and significance tests
Explanation:
Normal-error assumptions justify exact forms of several classical inferential procedures. Point predictions can still be computed when residuals are not perfectly normal.
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