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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