(MedAdm.csv Data File is in the comments)

Solve Using R / R Studio

The data for Medical School Admissions is in MedAdm.csv, taken from undergraduates from a small liberal arts school over several years. We are interested in student attributes that are associated with higher acceptance rates. o Accept = accepted (A) into medical school or denied (D) o Acceptance = accepted (1) into medical school or denied (0) o Sex = male (M) or female (F) o BCPM = GPA in natural sciences and mathematics o GPA = overall GPA o VR = verbal reasoning subscale score of the MCAT o PS = physical sciences subscale score of the MCAT o WS = writing samples subscale score of the MCAT o BS = biological sciences subscale score of the MCAT o MCAT = MCAT total score o Apps = number of schools applied to Be sure to interpret model coefficients and associated tests of significance or confidence intervals when answering the following questions: 1. Compare the relative effects of improving your MCAT score versus improving your GPA on your odds of being accepted to medical school. You can do it in one model 2. After controlling for MCAT and GPA, is the number of applications related to odds of getting into medical school? 3. Is one MCAT subscale more important than the others? 4. Is there any evidence that the effect of MCAT score or GPA differs for males and females