One of the consequences of multicollinearity in multiple regression is biased estimates on the slope coefficients.

Name: One of the consequences of multicollinearity in multiple regression is biased estimates on the slope coefficients.
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Quizplus · Accepted Answer

Multicollinearity does not cause biased estimates of the slope coefficients; it causes high variances and covariances among the estimated coefficients, making them less precise and potentially more difficult to interpret.

One of the Consequences of Multicollinearity in Multiple Regression Is