please download the pdf through the link Download HW2.pdf
An education researcher is interested in how variables, such as GRE (Graduate Record Exam scores), GPA (grade point average) and prestige of the undergraduate institution (Rank), influence admission into graduate school (Admit).
Read data
dta <- read.csv("https://stats.idre.ucla.edu/stat/data/binary.csv")
view the first few rows of the data
head(dta)
admit gre gpa rank
1 0 380 3.61 3
2 1 660 3.67 3
3 1 800 4.00 1
4 1 640 3.19 4
5 0 520 2.93 4
6 1 760 3.00 2
library(lattice)
xyplot(gre ~ gpa | factor(rank), data = dta, type = c("g","p","r"), layout = c(4, 1))