摘要
以芜湖职业技术学院2018级1271名学生为样本,通过问卷调查和体质测试成绩获得5个因变量与8个自变量的数据。在对原始数据进行预处理和标准化的基础上,运用多元回归分析的数理思想,对因变量与自变量依次做相关性分析、主成分分析和偏最小二乘回归分析。分别研究各个自变量对因变量的影响程度,联系教学实际,对进一步改革体育课程教学提出建议。建立大学生身体素质综合评价的主成分分析模型和大学生身体素质指标预测的多元回归模型。
1271 students of grade 2018 in Wuhu Institute of Technology were selected as samples,and the data of 5 dependent variables and 8 independent variables were obtained through questionnaire survey and physical test data.On the basis of preprocessing and standardizing the original data and by use of the mathematical thought of the multiple regression analysis,the correlation analysis,principal component analysis and partial least squares regression analysis of dependent variables and independent variables were carried out in turn.This paper studies the influence degree of each independent variable on dependent variables,and combining with the teaching practice,puts forward suggestions for further reforming the teaching of P.E.courses.the principal component analysis model of comprehensive evaluation of college students physical fitness and the multiple regression model of college students physical fitness index prediction are constructed.
作者
黄正锋
HUANG Zheng-feng(Physical Education Department,Wuhu Institute of Technology,Wuhu 241003,China)
出处
《安徽师范大学学报(自然科学版)》
2022年第4期395-401,共7页
Journal of Anhui Normal University(Natural Science)
基金
安徽省职业与成人教育学会2020年度教研规划课题(azcg207)
2018年安徽省质量工程重大教学研究项目(2018jyxm1316)
2021年度芜湖职业技术学院人文重点项目(wzyrwzd202107).
关键词
大学生
身体素质
相关性分析
主成分分析
偏最小二乘回归分析
college students
physical fitness,correlation analysis
principal component analysis
partial least squares regression analysis