High school performance

Dataset

The data were collected from three high schools in the US, consisting of information on the students' performance as measured by three continuous outcome variables: math, reading, and writing, as well as five predictors: their demographic information on race/ethnicity, parental level of education, gender, lunch type, and test preparation course.

The R code for data visualization, descriptive statistics, and multi-linear regression was written in R Markdown and knitted to html.

Variables:

• Math: The student's score on a standardized mathematics test, a continuous variable
• Reading: The student's score on a standardized reading test, a continuous variable
• Writing: The student's score on a standardized writing test, a continuous variable
• Race/ethnicity: The student's racial or ethnic background (Asian, African-American, Hispanic, etc.)
• Parental level of education: The highest level of education attained by the student's parent(s) or guardian(s)
• Gender: The gender of the student (male/female)
• Lunch: Whether the student receives free or reduced-price lunch (yes/no)
• Test preparation course: Whether the student completed a test preparation course (yes/no)

Levels of categorical variables:

variables	level_1	level_2	level_3	level_4	level_5	level_6
race/ethnicity	group_a	group_b	group_c	group_d	group_e
parental level of education	some high school	high school	some college	associate's degree	bachelor's degree	master's degree
gender	male	female
lunch	free/reduced	standard
test_prep course	completed	none

Data source

High school performance