지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
이용수
초록· 키워드
오류제보하기
As a result of analysis on determinate factors that influence the ranking of Korean professional women golfer’s prize money, the independent variable was the ranking of the 2006 season prize money, and dependent variables were divided into 9 factors; average score, the average number of puts, average rate of partner, rate of rounds under par, rate of par on, rate of par save, rate of par break, rate of recovery, and flying distance. This analysis is based on 2006 KLPGA Season Tour statistics, using the statistical decision tree technique.
1. By analyzing the players who ranked in the Top 16 in prize money during 2006 KLPGA Season Tour, we’ve learned that among the above independent variables, the average score, rate of recovery, rate of par on, and the rate of round under par influenced much on ranking in terms of prize money. The average score had the most profound influence on prize money in 2006 KLPGA Season Tour(x²=24.484, p＜0.001).
2. Among 30 players whose average score is lower than the total average, 22 players (29.3%) have higher rate of recovery while 8 players (10.9%) are lower than the total average. Among the above 22 players whose recovery rate is higher than the total average, 14 players ranked in the top 14 in prize money, while amongst the remaining 8 players, only 1 belonged there. As a result, we’ve learned that recovery rate is closely related with the ranking of prize money(r²=6.136, p＜0.5).
3. Among 22 players whose recovery rate is higher than the total average, 14 players (18.7%) have higher rate of par on, while 8 players (10.7%) have lower rate than the total average. Among those 14 player whose rate of par on is higher than the total average, 12 players ranked top in prize money, while only 2 of the lower-rated players belonged there. Therefore, the rate of par on is closely related with ranking of prize money(x²=8.110, p＜.0l).
4. Whose average score was higher than the total average were 45 players, and only 1 player (2.2%) ranked top prize money, while 44 players (97.8%) not belonged there. Among the previous 45 players, 9 players (12.0%) have a higher rate of rounds under par than the total average, while 36 players (48%) have lower rate than that Among those 9 players whose rate of rounds under par was higher than the total average, only 1 player (1.1%) ranked in top prize money, while among the above 36 players whose rate of rounds under par was lower than the total average, none (0.0%) belonged there. In conclusion, the rate of round under par and ranking of prize money are intimately associated with(x2=4.091, p＜.05).
5. Other variables such as average number of putting, average rate of buddy, the rate of par save, the rate of par break or flying distance are somewhat irrelevant with factors influencing on ranking of prize money, when compared them with the average score, the rate of recovery, the rate of round under par and the rate of par on.
1. By analyzing the players who ranked in the Top 16 in prize money during 2006 KLPGA Season Tour, we’ve learned that among the above independent variables, the average score, rate of recovery, rate of par on, and the rate of round under par influenced much on ranking in terms of prize money. The average score had the most profound influence on prize money in 2006 KLPGA Season Tour(x²=24.484, p＜0.001).
2. Among 30 players whose average score is lower than the total average, 22 players (29.3%) have higher rate of recovery while 8 players (10.9%) are lower than the total average. Among the above 22 players whose recovery rate is higher than the total average, 14 players ranked in the top 14 in prize money, while amongst the remaining 8 players, only 1 belonged there. As a result, we’ve learned that recovery rate is closely related with the ranking of prize money(r²=6.136, p＜0.5).
3. Among 22 players whose recovery rate is higher than the total average, 14 players (18.7%) have higher rate of par on, while 8 players (10.7%) have lower rate than the total average. Among those 14 player whose rate of par on is higher than the total average, 12 players ranked top in prize money, while only 2 of the lower-rated players belonged there. Therefore, the rate of par on is closely related with ranking of prize money(x²=8.110, p＜.0l).
4. Whose average score was higher than the total average were 45 players, and only 1 player (2.2%) ranked top prize money, while 44 players (97.8%) not belonged there. Among the previous 45 players, 9 players (12.0%) have a higher rate of rounds under par than the total average, while 36 players (48%) have lower rate than that Among those 9 players whose rate of rounds under par was higher than the total average, only 1 player (1.1%) ranked in top prize money, while among the above 36 players whose rate of rounds under par was lower than the total average, none (0.0%) belonged there. In conclusion, the rate of round under par and ranking of prize money are intimately associated with(x2=4.091, p＜.05).
5. Other variables such as average number of putting, average rate of buddy, the rate of par save, the rate of par break or flying distance are somewhat irrelevant with factors influencing on ranking of prize money, when compared them with the average score, the rate of recovery, the rate of round under par and the rate of par on.
목차
Abstract
Ⅰ. 서론
Ⅱ. 연구방법
Ⅲ. 결과
Ⅳ. 결론 및 논의
참고문헌
참고문헌 (13)
참고문헌 신청
1. [학술지(정기간행물)] - 김현경 / 2005 / 한국 여자골프의 변천과정-여자골프선수를 중심으로- / 한국체육사학회지 16 : 111 ~ 126
2. [기타자료] - 골프리빙 / 2004 / 이 것을 주목하라 / (2004. 08. 10)
3. [학위논문] - 권봉식 / 2006 / 의사결정나무 통계기법을 활용한 한국프로야구경기의 관중 유입 요인에 대한 예측연구 / 석사 / 한양대학교
4. [학위논문] - 박진승 / 1997 / 프로골프 선수의 상금 평균성적 결정요인분석 / 석사 / 한국체육대학교
5. [학술지(정기간행물)] - 서은영 / 2003 / 여자프로골프선수의 경기력에 영향을 미치는 결정요인분석 / 한국기록분석학회지 1 (2) : 27 ~ 38
2. [기타자료] - 골프리빙 / 2004 / 이 것을 주목하라 / (2004. 08. 10)
3. [학위논문] - 권봉식 / 2006 / 의사결정나무 통계기법을 활용한 한국프로야구경기의 관중 유입 요인에 대한 예측연구 / 석사 / 한양대학교
4. [학위논문] - 박진승 / 1997 / 프로골프 선수의 상금 평균성적 결정요인분석 / 석사 / 한국체육대학교
5. [학술지(정기간행물)] - 서은영 / 2003 / 여자프로골프선수의 경기력에 영향을 미치는 결정요인분석 / 한국기록분석학회지 1 (2) : 27 ~ 38
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