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Question

Consequences of high multicollinearity:

A Leads to biased and inconsistent OLS estimators.

B Decreases the standard errors of the regression coefficients, making them appear more significant.

C Makes it difficult to ascertain the individual effect of independent variables on the dependent variable.

D Primarily causes the R-squared value to drop significantly.

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