A Capital One analyst discovers multicollinearity between two predictor variables in a credit risk regression. What is the most appropriate remediation?
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A
Remove one of the correlated variables or apply ridge regression to penalize correlated coefficients
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B
Add more training data until coefficients stabilize
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C
Convert continuous variables to binary flags
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D
Switch from regression to a decision tree which handles multicollinearity automatically