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1 前 言 多年来,在体育领域的研究中,大多采用数理统计方法,如回归分析法,主成份分析法等,这些方法以独特的功能帮助我们解决了大量的实际问题.但是,数理统计方法往往需要采集大量的样本,具有典型的概率分布,计算量很大.而灰色系统理论中的关联分析法恰恰克服和弥补了数理统计方法的不足,这种方法主要是对一类灰系统因素间发展动态进行定量比较分析,研究灰色系统表征行为特征的离散函数的比较测度,对灰色系统随时间而变的有关统计数列的几何关系进行对比分析,把系统内有关因素之间的各种关联展现出来.因本文运用灰色关联分析法,对提高我院女生跳远成绩的多种因素进行关联分析,探讨跳远成绩与其它各种因素间的相互关系,为当今的体育教学和训练提供参考.
1 Introduction Many years in the field of sports research, the use of mathematical statistical methods, such as regression analysis, principal component analysis, etc., these methods to unique features to help us solve a large number of practical problems. However, mathematical statistics often Need to collect a large number of samples, with a typical probability distribution, a large amount of computation.And gray relational analysis in the theory of system just to overcome and make up for the lack of mathematical statistics method, this method is mainly developed for a class of gray system factors Dynamic comparative analysis of quantitative analysis of gray system behavior characteristics of the discrete function of the comparative measure of the gray system over time the geometric relationship between the statistical series were comparative analysis of the various factors within the system to show the various correlations This article uses gray relational analysis to analyze the relationship between many factors that improve the performance of long jump in our college and explore the relationship between long jump scores and other factors so as to provide reference for today ’s physical education and training.