Applying multiple regression analysis to baseball Hall of Fame membership

Multiple regression procedures were used to predict membership in baseball's Hall of Fame. The sample included 62 former baseball players, 31 who were elected to the Hall of Fame and 31 good players who were not elected. Using a variety of predictors, it was possible to account for about 50 to 66% of the variance in Hall of Fame selection.