摘要
本研究运用文献资料调研、数理统计、Probit线性分析与录像观察等方法对2015~2016赛季中国男子职业篮球联赛前8强球队在常规赛的248场比赛中的攻、防技术指标进行统计分析,对其加以系统研究与等级评价。采用Probit模型对攻防综合RSR值的分布进行线性回归分析,该模型的决定系数R2=0.838,F=25.780,P=0.004(﹤0.01),检验呈高度显著相关性,说明模型具有很好的拟合结果,所建立的线性回归方程具有统计意义。最后以此线性回归方程模型对8支球队进行分档处理,总体分析结果与球队在常规赛中的表现较为相符,能够客观地反应球队自身能力的不足之处以及不同球队间的差距所在,为各球队今后的发展指明方向。
This paper makes a statistical analysis and grade evaluation on the offensive and defensive technical indexes of the top eight teams,which contain a great deal of data about 248 games during the regular season in the2015 ～ 2016 season of Chinese Basketball Association（ CBA）,based on the methods of literature study,mathematical statistics,linear regressive model of Probit and video observation. Linear regression analysis is used to analyze the offensive-defensive RSR values based on Probit model,and the determination coefficient value is0. 838. Furthermore,the F test result shows that the linear models which have been established are efficacious and significant correlation,which could be proved by F = 25. 780 and P = 0. 004（ ﹤ 0. 01）. Finally,the 8 teams are classified into four levels according to linear regressive model. The overall results for this statistical process are well matched with the actual situation in the regular season,which could objectively reflect the shortcomings and gaps among teams and points out the future direction of team development.
作者
李金桥
Li Jinqiao(Sport College of Yangzhou University,Yangzhou 225009,Jiangsu,China)
出处
《体育科技文献通报》
2018年第7期45-47,共3页
Bulletin of Sport Science & Technology
