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Sports competition results predict a linear regression model applied research

机译:体育竞赛结果预测线性回归模型的应用研究

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This paper uses two-factor variance analysis, studies the top three achievements of men????s 110m hurdles in the 15th to 30th Summer Olympic Games, establishes the optimal quaternary linear regression predictionmodel by optimizing and comparing, respectively builds the achievements prediction equation of the third place, runner-up and champion performance, predicts the top three scores ofmen????s 110 meters hurdles in the 31th Summer Olympic Games. Studies have shown that achievement of the third place in the 31thOlympic 100-meter hurdles is 13.11, achievement of the runner up is 13.09, and achievement of the champions is 12.91. Themodel and results well descript the overall level variation lawof the recent 16 SummerOlympic Games men????s 110-meter hurdles, predict the achievements development, and provide a new way for the best combination methods to play a role in sports competitions and research.
机译:本文采用二因素方差分析法,研究了第十五届至第三十届夏季奥运会男子110m栏的前三名成绩,通过优化和比较建立了最佳四元线性回归预测模型,分别建立了成绩预测方程。第三名,亚军和冠军表现,预测了第31届夏季奥运会男子110米栏的前三名。研究表明,在第31届奥运会100米栏比赛中,第三名的成绩为13.11,亚军的成绩为13.09,冠军的成绩为12.91。该模型和结果很好地描述了最近16名夏季奥运会男子110米栏的总体水平变化规律,预测了成绩的发展,并为最佳组合方法在体育比赛和研究中发挥作用提供了新途径。

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