If the analysis of Variance F test leads to the conclusion that at least one of

Question

If the analysis of Variance F test leads to the conclusion that at least one of the model parameters is non-zero, can you conclude that the model is the best predictor for the dependent variable y? Can you conclude that all of the terms in the model are important for predicting y? What is the appropriate conclusion?

A) you cannot conlcude that the model is the best or that all terms are important. The appropriate conclusion is that all the model terms are greater than 0, which means that model is statistically useful.

B) you cannot conlcude that the model is the best or that all terms are important. The appropriate conclusion is that at least one model term is useful, which means that the model is statistically useful.

C) you cannot conlcude that the model is the best or that all terms are important. The approptriate conclusion is that none of the model terms are equal to 0, which means that the variability explained by the model is not equal to 0.

D) you cannot conlcude that all of the terms are important, but you can conclude that the model is he best. This is the appropriate conclusion.

E) you cannot conclude that the model is the best, but you can conclude that all of the terms are important. This is the approptriate conclusion.

Explanation / Answer

C) you cannot conlcude that the model is the best or that all terms are important. The approptriate conclusion is that none of the model terms are equal to 0, which means that the variability explained by the model is not equal to 0.

Related Questions

Navigate

• Browse (All)
• Browse I
• Subjects

Integrity-first tutoring: explanations and feedback only — we do not complete graded work. Learn more.