摘要
采用文献资料法、视频分析法和数理统计法等研究方法,借助Excel软件,对2019年多哈世界田径锦标赛男子400米决赛成绩进行分析。通过对2019年世界田径锦标赛男子400米运动员各分段50米成绩的获取,以50米为自变量进行相关性比较研究,筛选出最优指标,进行回归分析,建立400米的回归模型。剖析出哪一段50米对400米运动成绩最显著,找到更有效的训练方法,为我国短跑教练员和运动员在将来的400米训练中提供理论依据。研究表明:400米成绩(y)与第八段50米成绩(x8)、第六段50米成绩(x6)和第一段50米成绩(x1)密切相关,回归方程为:[AKy^]=131.456+1.895x8+1.252x6-21.197x1.
The results of the men’s 400m final at the 2019 world athletics championships in doha were analyzed with the help of excel software by means of literature,video analysis and mathematical statistics.Through the acquisition of 50m results of men 400m athletes in each segment of the world athletics championships in 2019,a correlation study was conducted with 50m as the independent variable,the optimal indicator was screened out,and a regression model of 400m was established for regression analysis.It analyzed which section of 50m to 400m sports performance is the most significant,and found a more effective training method,providing theoretical basis for China’s sprint coaches and athletes in the future 400m training.The results showed that the 400 meters score is closely related to the 50m score in the eighth paragraph(x8),50m score in the sixth paragraph(x6)and 50m score in the first paragraph(x1).The regression equation is:[AKy^]=131.456+1.895x8+1.252x6-21.197x1.
作者
潘丹
熊江媛
PAN Dan;XIONG Jiang-yuan(Department of Physical Education, Hubei Normal University, Huangshi 435002,China;School of Physical Education and Sports Science,South China Normal University,Guangzhou 510631,China)
出处
《湖北师范大学学报（自然科学版）》
2020年第4期77-83,共7页
Journal of Hubei Normal University：Natural Science
关键词
田径
400米
决赛
逐步回归
分段
athletics
400 meters
50 meters
stepwise regression
segmentation
作者简介
潘丹(1982—),女,辽宁丹东人,讲师,硕士,研究方向为体育教育训练学.
