admissions: Admission into graduate school

In emilelatour/lamisc: Latour's Little Helpers

Admission into graduate school

Description

A researcher is interested in how variables, such as GRE (Graduate Record Exam scores), GPA (grade point average) and prestige of the undergraduate institution, effect admission into graduate school. The response variable, admit/don’t admit, is a binary variable.

This dataset has a binary response (outcome, dependent) variable called admit. 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.

Usage

admissions

Format

A data frame with 400 rows and 4 variables:

admit

admit = 1 / don’t admit = 0

gre

Graduate Record Exam scores

gpa

grade point average

rank

1 = highest prestige, 4 = lowest prestige

...

Source

https://stats.idre.ucla.edu/stat/data/binary.csv

emilelatour/lamisc documentation built on May 20, 2024, 2:42 a.m.