Please provide reason why choosing true/false. Thank you! 16. When testing for m

Question

Please provide reason why choosing true/false. Thank you!

16. When testing for multicollinearity, a regression can be run in whcih one of the suspected independent variables becomes the dependent variable and th eother is the independent variable.

True or False

17. A multiple regression model that has been shown to suffer from multicollinearity can not be used even for predictive purposes.

True or False

18. Predictions when using a multiple regression equation can take which of the following forms:

a.) point estimate

b.) interval estimate

c.) neither of the above

d.) both of the above

19. Multicollinearity cannot occur in a simple linear regression model

True or False

20. The challenge in a DOE is to find the combination of _______ capable of producing an optimal response.

a.) output levels

b.) experiments

c.) fractional trials

d.) factor levels

Explanation / Answer

Answer 16)

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When testing for multicollinearity, a regression can be run in whcih one of the suspected independent variables becomes the dependent variable and th eother is the independent variable. - TRUE

When you test such way, if the result is statistically significant i.e. the dependent variable can be linearly expressed by the independent variable then we can conclude that the dependent variable suffers from multicollinearity.

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