https://docs.google.com/spreadsheets/d/1DcXS96HY0qXiM4ntanyRb1fmCywtbxag58dFzNd6Tsc/edit?usp=sharing

Graduate School Admission:UGA wishes to build a model to classify graduate school applicants into two groups: Those who are qualified and should be admitted and those who are not qualified and should not be admitted. The applicants in the sample data were reviewed using traditional means (i.e., application, statement of purpose, and essays reviewed by an expert panel of admissions officers) and scored "Yes" to be admitted or "No" not to be admitted. The available variables are contained in the worksheet "Admissions" and defined as follows.

Admit:Coded as "Yes" if the applicant is to be admitted and "No" otherwise.

GRE:The applicant's score of the Graduate Record Examination (GRE).

GPA:The applicant's undergraduate GPA.

Rank:The ranking (1-4) of the applicant's undergraduate institution.

Fit the proper regression model to predict the variable Admit. Fit the model so that the event being modeled is "Yes" for the variable Admit. Furthermore, treat the variable Rank as a categorical predictor variable and code it so that Rank #1 serves as the reference group.

(b) State the model equation.

(d) Is GRE score important in predicting graduate school admissions? Use a 5% significance level. State the hypotheses to be tested. Ho: B = 0 Ha B10 o Hoi Bo 20 Ha: Po