In the presence of multicollinearity, the predicted values of $\hat{y}$ are actually quite good for values of x far outside the range of the sampled values of x.

Name: In the presence of multicollinearity, the predicted values of $\hat{y}$ are actually quite good for values of x far outside the range of the sampled values of x.
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Question

Quizplus · Accepted Answer

Multicollinearity affects the stability and reliability of coefficient estimates, making predictions outside the range of sampled values unreliable.

In the Presence of Multicollinearity, the Predicted Values Of y^\hat{y}y^​ Are Actually Quite Good for Values of X Far Outside

In the Presence of Multicollinearity, the Predicted Values Of $\hat{y}$ Are Actually Quite Good for Values of X Far Outside