Imagine you are interested in knowing how variables like GRE (Graduate Record Exam scores), GPA (Grade Point Average) etc affect admission into graduate school. The response variable,"admit"(admit/don't admit), is a binary variable(admit = 1 / don't admit = 0).

Make logistic regression model using the datasetbinary.csv(https://www.dropbox.com/s/rafgg5fb2b32cmn/binary.csv?dl=0).

Use the information from the model to answer the following five questions. Select the closest answer.note:You might want to use this code to read the file:

read.csv("binary.csv",fileEncoding="UTF-8-BOM")

If a student has a GRE score of 330, with 0.2 unit increase in GPA, what is the change of the natural log of predicted odds of this student getting admitted into graduate school?

A: exp(-4.949 + 0.003*0.2 + 0.755*330)/[1 + exp(-4.949 + 0.003*0.2 + 0.755*330)]

B: exp(-4.949 + 0.003*0.2 + 0.755*330)

C: 0.1509

D: None of the above