The Effect Of Time On Tennis Through Both Statistical Regression Analyses

2075 WordsMay 8, 20179 Pages
The goal of this paper is to analyze the effects of time in tennis through both statistical regression analyses. Since the time of when players used wooden tennis racquets and played solely at country clubs, the sport of tennis has progressed into a sport that requires top athletes in the world. Not only has the technology progressed for the better, but so as the physical demands. Similarly, the total amount of money in the sport, which was presented in the Player’s chapter the Pilic Affair, has increased dramatically since the founding of the sport. As a result, I wanted to see if the increase in match times have increased at the same pace as the increase in prize money. I predict that the percent change in money will outweigh the percent…show more content…
Similarly, the article from management today by Adam Gale discusses the lucrative deals coming from the sport. Dale states the “revenue from official partners at the ATP, which runs the worldwide men’s tour, has increased 215% in six years” (Dale). He said that the growth can be attributed to viewing experience that tennis provides, as mentioned in the Pilic Affair. He states that tennis is a far more “intimate” experience with spectators due to the television experience available today. He also claims that there is a large untapped market of young adults that may have glossed over the sport originally, which may prove to be profitable down the line. As a result, these readings show the popularization and monetization of the sport can be attributed to the development in the game, as well as the widespread media attention players currently receive. Unfortunately, there was not available literature on the effects of the time of a match on the outcome and wealth in the sport. While I believe that the energy required of professionals in the sport has increased, the statistics for energy exhaust is not widely available. As a result, I felt as though the length in time in a match was a justifiable substitute for the amount of energy spent in a match. Additionally, the largest and most accurate composite data available provided only

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