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The Optimal Combination Model Building and Application of Linear Regression Based On Prediction of Sports Scores

机译:基于体育成绩预测的线性回归的最优组合模型构建与应用

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摘要

With the development of science and technology and training to improve technology updates, sports scores items changing over time, some of the future development trend of sports scores more people are concerned. In this paper, two-factor analysis of variance to study the 15th to the 30th Summer Olympic Games men's 110 meter hurdles top three scores, comparing established by optimizing the optimal quaternary linear regression models were established 3rd, 2nd and champion performance prediction equation, and the 31st summer Games men's 110 meters hurdles to predict the top three scores. Research shows that the first 31 Olympic 110 meters hurdles runner-up score is 13.11, runner-up performance is 13.09, champion score is 12.91. The model is well described and the results of nearly 16 Summer Olympics men's 110 meter hurdles the overall level of variation, and its development achievements prediction method for the optimum combination of sports and play a role in scientific research provides new approach.
机译:随着科技和培训的发展,提高技术更新,体育评分物品随着时间的推移而变化,一些未来的体育发展趋势越来越多的人。在本文中,双因素分析研究了研究的第15次到第30届夏季奥运会男子110米的障碍前三个分数,通过优化最佳四元线性回归模型建立的比较是第三,第二和冠军性能预测方程,以及31次夏季游戏男士110米的障碍预测前三分。研究表明,第一个31奥林匹克110米的障碍亚军分数是13.11,亚军表现是13.09,冠军得分为12.91。该模型良好描述,近16名夏季奥运会的结果110米的结果障碍变化的总体水平,其开发成果的预测方法为运动的最佳组合和在科学研究中发挥作用提供了新的方法。

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