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

16. True. The mentioned method of testing multicolinearity is called VIF or varience inflation factor.

17. False. A model which is suffering from multicolinearity reduces the predictive power. But it does not mean that it can't be used for prediction purpose.

18. Pridictions can both takepoint estimate or interval estimate, depending upon ones need.

19. True. By definition multicolinearity arises when two independent variablees become highly correlated. But in simple linear regression we only have one independent variabl hence there is no chance of multicolinearity.

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