As predictors become more highly correlated, I. the p-values of the beta estimates become smaller II. it becomes more difficult to determine which predictor is actually producing the effect on the response III. the values of the beta estimates all approach zero

Hence P values of beta becomes smaller(< 0.0001). and doest affect the mean response

Step-by-step explanation:

Given:

AS Predictor  become more highly correlated .

To find:

Descriptive  Nature of high correlated Predictor .

Solution:

A predictor is high correlated means:

1)It means that the two variables are strongly related to each other.

2)This is also called as problem of multicollinearity when two variables are

in Regression.

Effects when predictor are highly correlated ;

In short ,Mulitcollinearity does not affect the mean response and  new response of the model.

Hence P values of beta becomes smaller(< 0.0001). and doest affect the mean response

b

step-by-step explanation:

mx+89b(-98)nb

step-by-step explanation: