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作 者:李祥凤 王伟[1] LI Xiangfeng;WANG Wei(University Of Sanya,Sanya Hainan,572022,China)
机构地区:[1]三亚学院,海南三亚572022
出 处:《四川体育科学》2025年第1期72-76,132,共6页Sichuan Sports Science
摘 要:通过文献资料法,数理统计法和逻辑分析法,以美巡赛(PGA TOUR)高尔夫球职业运动员前100名的身体形态维度(身高、体重)和技术环节数据维度(开球距离、上球道率、标准杆上果岭率、开球得分、攻果岭得分、果岭周围得分以及推杆得分)相关数据与总得分的关系为为研究对象,试探析出哪些技术环节数据指标与比赛总得分关系最具相关性,从而找到更有效的训练指标,为我国高尔夫球员科学化训练提供理论借鉴。结果显示:身高、体重与比赛总得分双侧性检验均在0.05的水平上相关都不具有统计学意义,技术环节数据维度中的7个自变量比赛总得分双侧性检验都在0.01的水平上相关具有统计学意义,按照所选7项数据指标(自变量)对比赛总得分(因变量)贡献程度的大小筛选出最优指标,进行回归分析,建立比赛总得分的回归模型。研究表明:比赛总得分(Y)与攻果岭得分(X_(7))、推杆得分(X_(9))、开球得分(X_(6))、果岭周围得分(X_(8))密切相关,回归方程:Y(总得分)=0.006+1.034X_(7)+0.991X_(9)+1.023X_(6)+0.775X_(8)。This article uses the method of literature data,mathematical statistics and logical analysis to use the top 100 PGA TOUR golf players'body shape dimensions(height,weight)and technical data dimensions(tee distance,The relationship between fairway rate,par green rate,kickoff score,green score,green score,and putter score)related to the total score is the research object.The results show that:the two-sided test of height,weight and the total score of the competition is not statistically significant at the 0.05 level.The two-sided test of the total score of the 7 independent variables in the technical data dimension is all at the level of 0.01.The above correlation is statistically significant.According to the contribution of the selected 7 data indicators(independent variables)to the total score of the game(dependent variable),the optimal indicators are screened,regression analysis is performed,and the regression model of the total score of the game is established to analyze Which technical link data indicators have the most relevance to the total score of the game,find a more effective training method,and provide a theoretical reference for the scientific training of golfers in my country.Research shows that the total score(Y)of the game is closely related to the Approach The Green(X_(7)),the score of the putt(X_(9)),the Off The Tee(X_(6)),and the Around The Green(X_(8)),.Regression equation:Y(总得分)=0.006+1.034X_(7)+0.991X_(9)+1.023X_(6)+0.775X_(8)。
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