Wooldridge Sources: Peterson's Guide to Four Year Colleges, 1994 and 1995 (24th and 25th editions). Princeton University Press. Princeton, NJ. The Official 1995 College Basketball Records Book, 1994, NCAA. 1995 Information Please Sports Almanac (6th edition). Houghton Mifflin. New York, NY. Data loads lazily.

data('athlet1')

Format

A data.frame with 118 observations on 23 variables:

  • year: 1992 or 1993

  • apps: # applics for admission

  • top25: perc frsh class in 25 hs perc

  • ver500: perc frsh >= 500 on verbal SAT

  • mth500: perc frsh >= 500 on math SAT

  • stufac: student-faculty ratio

  • bowl: = 1 if bowl game in prev yr

  • btitle: = 1 if men's cnf chmps prv yr

  • finfour: = 1 if men's final 4 prv yr

  • lapps: log(apps)

  • d93: =1 if year = 1993

  • avg500: (ver500+mth500)/2

  • cfinfour: change in finfour

  • clapps: change in lapps

  • cstufac: change in stufac

  • cbowl: change in bowl

  • cavg500: change in avg500

  • cbtitle: change in btitle

  • lapps_1: lapps lagged

  • school: name of university

  • ctop25: change in top25

  • bball: =1 if btitle or finfour

  • cbball: change in bball

Source

https://www.cengage.com/cgi-wadsworth/course_products_wp.pl?fid=M20b&product_isbn_issn=9781111531041

Notes

These data were collected by Patrick Tulloch, an MSU economics major, for a term project. The “athletic success” variables are for the year prior to the enrollment and academic data. Updating these data to get a longer stretch of years, and including appearances in the “Sweet 16” NCAA basketball tournaments, would make for a more convincing analysis. With the growing popularity of women’s sports, especially basketball, an analysis that includes success in women’s athletics would be interesting.

Used in Text: page 697

Examples

str(athlet1)
#> 'data.frame': 118 obs. of 23 variables: #> $ year : int 1992 1993 1992 1993 1992 1993 1992 1993 1992 1993 ... #> $ apps : int 6245 7677 13327 19860 10422 12809 4103 3303 8661 7548 ... #> $ top25 : int 49 58 57 57 37 49 60 67 54 54 ... #> $ ver500 : int NA NA 36 36 28 31 NA NA 46 51 ... #> $ mth500 : int NA NA 58 58 58 62 NA NA 86 83 ... #> $ stufac : int 20 15 16 16 20 14 16 18 16 16 ... #> $ bowl : int 1 1 0 1 0 0 1 0 0 0 ... #> $ btitle : int 0 0 0 1 0 0 1 0 0 0 ... #> $ finfour : int 0 0 0 0 0 0 0 0 0 0 ... #> $ lapps : num 8.74 8.95 9.5 9.9 9.25 ... #> $ d93 : int 0 1 0 1 0 1 0 1 0 1 ... #> $ avg500 : num NA NA 47 47 43 46.5 NA NA 66 67 ... #> $ cfinfour: int NA 0 NA 0 NA 0 NA 0 NA 0 ... #> $ clapps : num NA 0.206 NA 0.399 NA ... #> $ cstufac : int NA -5 NA 0 NA -6 NA 2 NA 0 ... #> $ cbowl : int NA 0 NA 1 NA 0 NA -1 NA 0 ... #> $ cavg500 : num NA NA NA 0 NA 3.5 NA NA NA 1 ... #> $ cbtitle : int NA 0 0 1 -1 0 1 -1 0 0 ... #> $ lapps_1 : num NA 8.74 NA 9.5 NA ... #> $ school : chr "alabama" "alabama" "arizona" "arizona" ... #> $ ctop25 : int NA 9 NA 0 NA 12 NA 7 NA 0 ... #> $ bball : int 0 0 0 1 0 0 1 0 0 0 ... #> $ cbball : int NA 0 NA 1 NA 0 NA -1 NA 0 ... #> - attr(*, "time.stamp")= chr "25 Jun 2011 23:03"