大学生体质健康的灰色关联度综合评价与回归分析

Gray Correlation Degree Comprehensive Evaluation and Regression Analysis for Undergraduates' Physical Health

针对大学生体质健康时效性问题,选取身高/标准体重、肺活量体重指数、台阶实验、立定跳远、握力体重系数五项指标作为评价指标,利用层次分析法合理地确定各指标权重,建立灰色关联度综合评价模型,比较了10名大学男生的体质健康水平,并就此五项评价指标做了多元回归和响应曲面分析。结果表明:灰色关联层次综合评价和回归分析客观地反映了个体之间的差异,并能准确地区分出大学生体质健康水平。

In order to solve the timeliness problem of undergraduates＇ physical health, five evaluation indexes, that is, height/weight, vital capacity weight index, step test, standing long jump, grip strength and weight coefficient, are chosen. By using analytic hierarchy process, the reasonable weight of all factors are determined. Then the gray correlation degree comprehensive evaluation models is constructed for comparing the physical health of 10 male undergraduates, and five evalua- tion indexes are made to multiple regression and response surface analysis. The results presented in this paper show that the gray relational comprehensive evaluation and regression analysis can objectively reflect the difference between individuals and can be applied to distinguish the physical health accurately.