EDUCATION {regclass}

EDUCATION data

Description

Data on the College GPAs of students in an introductory statistics class

Usage

data("EDUCATION")

Format

A data frame with 607 observations on the following 18 variables.

CollegeGPA

a numeric vector

Gender

a factor with levels Female Male

HSGPA

a numeric vector, can range up to 5 if the high school allowed it

ACT

a numeric vector, ACT score

APHours

a numeric vector, number of AP hours student took in HS

JobHours

a numeric vector, number of hours student currently works on average

School

a factor with levels Private Public, type of HS

LanguagesSpoken

a numeric vector

HSHonorsClasses

a numeric vector, number of honors classes taken in HS

SmokeInHS

a factor with levels No Yes

PayCollegeNoLoans

a factor with levels No Yes, can the student and his/her family pay for the University of Tennessee without taking out loans?

ClubsInHS

a numeric vector, number of clubs belonged to in HS

JobInHS

a factor with levels No Yes, whether the student maintained a job at some point while in HS

Churchgoer

a factor with levels No Yes, answer to the question Do you regularly attend chruch?

Height

a numeric vector (inches)

Weight

a numeric vector (lbs)

Family

what position they are in the family, a factor with levels Middle Child Oldest Child Only Child Youngest Child

Pet

favorite pet, a factor with levels Both Cat Dog Neither

Details

Responses are from students in an introductory statistics class at the University of Tennessee in 2010. One goal to try to predict someone's college GPA from some of the students' characteristics. What information about a high school student could a college admission's counselor use to anticipate that student's performance in college?