GmAMisc (version 1.0.0)

log_regr_data: Dataset: admission to graduate school

Description

A dataset containing information about the admission to graduate school of 400 individuals; the dataset features a binary dependent variable and 3 predictors. Dataset is after: https://stats.idre.ucla.edu/r/dae/logit-regression/

Usage

data(log_regr_data)

Arguments

Format

A data frame with 400 rows and 4 variables

Details

  • admit. Binary dependent variable (admission yes=1, admission no=0)

  • gre. Graduate Record Exam score; predictor (continuous)

  • gpa. Grade Point Average; predictor (continuous)

  • rank. Prestige of the undergraduate school (ordinal)