Question
Consequences of high
multicollinearity:Solution
A significant consequence of high multicollinearity is that it makes it difficult to ascertain the individual effect of independent variables on the dependent variable. While it doesn't bias OLS estimators, it inflates their standard errors, leading to less precise estimates and making it harder to determine the statistical significance of individual predictors.
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