This paper investigates the decision of junior golfers to pursue playing in the NCAA. Since standardized junior golf rankings across the world is fairly new, not much is researched on this relationship between these three levels of golf. This paper will focus on four main questions through the use of two probit models and two linear regression models. Does junior rank affect the decision to attend an NCAA school? Is success at the collegiate and junior levels a good indicator of PGA Tour playing probabilities? Does success at these levels indicate success on the PGA Tour? Finally, if junior ranking is any indication of your collegiate ranking? The study provides statistical support that playing collegiate golf increases the probability of playing on the PGA Tour, more success in the NCAA increases PGA Tour playing probabilities and college ranking influences success on the PGA tour.
Previous research has examined factors influencing attendance at various sports leagues, but very little attention has been focused specifically on the PGA and PGA Tour. This study examines the potential factors influencing a fan to attend PGA and PGA Tour tournaments from the 1998-2007 seasons. This study incorporates a regression analysis along with qualitative research to analyze the data. The regression results suggest that income, the type of course the tournament is played on, and the tournament number are all important factors influencing attendance at PGA and PGA Tour tournaments. However, the qualitative research results suggest that Tiger Wood's participation and the strength of the field competing in the tournament are the most important factors impacting attendance.
Top players in the sports industry enjoy a fanatical following across the globe, making them ideal prospects for advertising campaigns in both print and electronic media forms. This paper uses decades of TV ratings, specifically from golfs FedEx Cup Era and television shows in general. Using weekly data from the Top 5 FedEx Cup ranked players presence in the Top 10 of golf’s most competitive tournaments, the presence of Tiger Woods, and the number 1 ranked television show of the year, this study utilizes a generalized least squares regression. This study hypothesizes that all variables used will positively affect the golf tournaments television rating. The results suggest that most variables do positively affect TV ratings, but based on the statistical evidence the hypothesis was not present.