In the lecture notes, we saw that the cv.glm() function can be used in order to compute the leave- one-out cross-validation (LOOCV) test error estimate. Alternatively, one could compute those quan- tities using just the glm() and predict.glm() functions, and a for loop. You will now take this approach in order to compute the LOOCV error for the simple logistic regression model on the Phillies2009 data set