Which of the followings is correct in diagnosing a multiple linear regression? C

Question

Which of the followings is correct in diagnosing a multiple linear regression? Choose all correct answers.

a. Collinearity is present in a data set, whenever there is a strong relationship among independent variables.

b. Collinearity can be removed from a data set, by removing some observations.

c. A multicollinearity can not be avoided in an experimental study.

d. Cook's distance for an observation may be large because its studentized residual is large.

e. Symptoms of collinearity in a data set include the change of sign and the change of significance when a new independent variable is added to the model.

Explanation / Answer

a and e

because when doing multiple linear regression it requires to check collinearity which is most important .

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