Mathematics
Mathematics, 07.04.2020 20:35, GreenHerbz206

Which of the following is not a reason why multicollinearity is a problem in regression?
a. It creates heteroscedasticity (heterogeneity of variances) in the data.
b. It leads to unstable regression coefficients.
c. It makes it difficult to assess the individual importance of a predictor
d. It limits the size of R

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