摘要
研究采用因子分析、快速聚类、相关性分析等统计方法,以2016-2017赛季NBA球员为研究对象,对运动员竞技效率进行分析.结果表明,运动员的竞技效率由进攻因子、防守因子、消极因子共同决定,累积方差贡献率达到80.341%.依据因子得分,将运动员竞技效率分成三类,以出场时间、出场次数与综合得分进行pearson相关性双侧检验.结果表明,出场次数与综合得分不具有显著性相关,出场时间与综合得分具有非常显著性相关.
Using statistical methods such as factor analysis,fast clustering,correlation analysis,this research discussed athletic efficiency of NBA players in 2016-2017 regular season.The results showed that the competitive efficiency of athletes was determined by the attack factors,defensive factors,negative factors,and the comprehensive factor score function was F=0.31673F1+0.28741F2+0.19926F3,the cumulative variance contribution rate reached 80.341%.According to the factor score,the 150 athletes’athletic efficiency was divided into three categories,and the two-sided test of Pearson correlation was carried out with the playing time,the number of appearances and the comprehensive score.The number of appearances was not significantly correlated with the comprehensive score,but the playing time was correlated with the comprehensive score.
作者
赖焕春
Lai Huanchun(Department of Physical Education,Fujian University of Traditional Chinese Medicine,Fuzhou 350122,China)
出处
《洛阳师范学院学报》
2019年第11期35-38,共4页
Journal of Luoyang Normal University
关键词
NBA
常规赛
竞技效率
因子得分
聚类
相关性
NBA
regular season
atheletic efficiency
factor score
clustering
correlation