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Including redundant input variables in a regression model can:

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Including redundant input variables in a regression model can:

A.

Stabilize parameter estimates and increase the risk of overfitting.

B.

Destabilize parameter estimates and increase the risk of overfitting.

C.

Stabilize parameter estimates and decrease the risk of overfitting.

D.

Destabilize parameter estimates and decrease the risk of overfitting.

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