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Regression analysis

  1. Nov 7, 2011 #1
    1. The problem statement, all variables and given/known data

    based on this data

    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

    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)

  2. jcsd
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