Using R for Introductory Statistics : John Verzani

Two extensions of the linear model 341acceptance modeled by the batting average (BA), the number of lifetime home runs (HR),the number of hits (hits), and the number of games played (games).First, we make binary variable for Hall of Famemembership.> hfm=hall.fame$Hall.Fame.Membership != "not a member"Now, fit a logistic regression model of hfm modeled by the variables above. Which arechosen by stepAIC () ?12.5 The esoph data set contains data from a study on esophageal cancer. The datarecords the number of patients with cancer in ncases and the number of patients in thecontrol group with ncontrols. The higher the ratio of these two variables the worse thecancer risk. Three factors are recorded: the age of the patient (agegp), alcoholconsumption (alcgp), and tobacco consumption (tobgp).We can fit an age-adjusted model of the effects of alcohol and tobacco consumptionwith an interaction as follows:> res.full res.add