(adsbygoogle = window.adsbygoogle || []).push({}); 1. The problem statement, all variables and given/known data

based on this data

http://www.stat.ufl.edu/~rrandles/sta4210/4210lectures/secondexreview/exam2rev.pdf

1) Consider the full (three predictor) model. Is this model useful? (are any of the predictors worthwhile?)

2) Use the All-Subsets and conduct a search for the best model using our five criteria.

3) Examine the approprateness of the model chosen in 2.

4) Conduct a test of whether X2 - (locadv) should be dropped from the three variable model.

2. Relevant equations

3. The attempt at a solution

So,

1) I would say the model is useful based upon the fact that the F-Value in the anova test is larger than the one on the F-table based upon the degrees of freedom.

2) According the all-subsets data, the best model uses X1 and X3

3)Since the F-test is greater than slated F-table value, it is appropriate. (NOT SURE ABOUT THIS PART)

4) Since the model is better than the all three, that variable should be dropped. (NOT SURE ABOUT THIS)

thanks

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# Regression analysis

Can you offer guidance or do you also need help?

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