Question
Two predictors in a regression are almost linear combinations of each other. What problem can result?
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Correct Answer: C. Multicollinearity and unstable coefficient estimates
Explanation:
Highly correlated predictors make it difficult to separate their individual contributions. Coefficient estimates can become sensitive to small changes in the data.
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