2000年美國高爾夫球名人賽之統計分析

Statistic Analysis of the Masters Tournament 2000

王宏宗(Hung-Tsung Wang)

《北體學報》 8期 (2000/12) Pp. 55-59

https://doi.org/10.6167/TPEC/2000.8.6

摘要

The goal of this research is to make use of ”Multi Regression Theory” in order to discover some unrevealed records. These records can be used for our training references such as Green Hit(GH), Fairway Hit(FH), Sand Saves(SS), Putting Average(PA), Driving Average(DA), Longest Drive(LD), Birdie Average(BA), Score Average(SA), and etc.
Some summaries are obtained after discussion and analysis.
1. The 91% of Score average variety can be explained by three major facts. Those facts are Green Hit (GH), Putting Average (PA), and Sand Saves (SS) (P＜0.5).
2. According to? Multi Resurvive Theory, expected score can be achieved by following formulas.
Unstandardized Recursive Formula SA=-0.17GH+11.1PA-0.01SS+65.23
Standardized Recursive Formula Zsa=-0.95GH+0.71Zpa-0.31Zss.

關鍵字

高爾夫球 ； 統計學 ； 高爾夫球名人賽

並列摘要

The goal of this research is to make use of ”Multi Regression Theory” in order to discover some unrevealed records. These records can be used for our training references such as Green Hit(GH), Fairway Hit(FH), Sand Saves(SS), Putting Average(PA), Driving Average(DA), Longest Drive(LD), Birdie Average(BA), Score Average(SA), and etc.
Some summaries are obtained after discussion and analysis.
1. The 91% of Score average variety can be explained by three major facts. Those facts are Green Hit (GH), Putting Average (PA), and Sand Saves (SS) (P＜0.5).
2. According to? Multi Resurvive Theory, expected score can be achieved by following formulas.
Unstandardized Recursive Formula SA=-0.17GH+11.1PA-0.01SS+65.23
Standardized Recursive Formula Zsa=-0.95GH+0.71Zpa-0.31Zss.

並列關鍵字

Golf ； Statistics ； The Masters Tournament