This dataset has data on 400 cases. There is a binary response (outcome, dependent) variable called admit and there are three predictor variables: gre, gpa, and rank. We will treat the variables gre and gpa as continuous. The variable rank takes on the values 1 through 4. Institutions with a rank of 1 have the highest prestige, while those with a rank of 4 have the lowest. The dataset also contains four dummy variables, one for each level of rank, named rank1 to rank4, for example, rank1 is equal to 1 when rank=1, and 0 otherwise. Lets start by running a model with type=basic.

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