Wooldridge Source: For confidentiality reasons, I cannot provide the source of these data. I can say that Data loads lazily.
data('gpa2')
A data.frame with 4137 observations on 12 variables:
sat: combined SAT score
tothrs: total hours through fall semest
colgpa: GPA after fall semester
athlete: =1 if athlete
verbmath: verbal/math SAT score
hsize: size grad. class, 100s
hsrank: rank in grad. class
hsperc: high school percentile, from top
female: =1 if female
white: =1 if white
black: =1 if black
hsizesq: hsize^2
https://www.cengage.com/cgi-wadsworth/course_products_wp.pl?fid=M20b&product_isbn_issn=9781111531041
pages 106, 184, 208-209, 210-211, 221, 259, 262-263
they come from a midsize research university that also supports men’s and women’s athletics at the Division I level.
#> 'data.frame': 4137 obs. of 12 variables: #> $ sat : int 920 1170 810 940 1180 980 880 980 1240 1230 ... #> $ tothrs : int 43 18 14 40 18 114 78 55 18 17 ... #> $ colgpa : num 2.04 4 1.78 2.42 2.61 ... #> $ athlete : int 1 0 1 0 0 0 0 0 0 0 ... #> $ verbmath: num 0.484 0.828 0.884 0.808 0.735 ... #> $ hsize : num 0.1 9.4 1.19 5.71 2.14 2.68 3.11 2.68 3.67 0.1 ... #> $ hsrank : int 4 191 42 252 86 41 161 101 161 3 ... #> $ hsperc : num 40 20.3 35.3 44.1 40.2 ... #> $ female : int 1 0 0 0 0 1 0 0 0 0 ... #> $ white : int 0 1 1 1 1 1 0 1 1 1 ... #> $ black : int 0 0 0 0 0 0 0 0 0 0 ... #> $ hsizesq : num 0.01 88.36 1.42 32.6 4.58 ... #> - attr(*, "time.stamp")= chr "25 Jun 2011 23:03"