Practicing Sub-setting Data and Principle Component Regression

Using the NFL FGA Data from 2008 in http://www.stat.ufl.edu/~winner/data/nfl2008_fga.csv create a model that can “accurately” (just do your best) classify missed versus good (made) field goals using logistic regression. In doing so also answer the following questions: - Which variables contribute most to your model - What is your “hit rate”, using 50% as the break point? - What is your ROC/AUC? - Holding all other variables in your model constant (or at an average) what are the chances of making a 50 yard field goal? - What additional information might be helpful?