Which of the following is not a reason for multicollinearity being a problem in regression?

A. It limits the size of R.
B. It makes it difficult to assess the importance of individual predictors.
C. It leads to unstable regression coefficients.
D. It creates heteroscedasticity in the data.


Answer: D

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