基于多元回归模型下人体吸氧效率的预测
Prediction of the human body oxygen uptake efficiency based on the multiple linear regression model
云南民族大学学报:自然科学版,2017,26(2):144-147

邹石磊 ZSL

摘要


研究人体吸氧效率与人体重要指标因素的相关性,首先利用R统计软件对人体吸氧效率与重要指标因素进行多元线性回归建模,其次,对该模型及回归系数的显著性分别进行F检验和t检验,剔除掉冗余及共线性指标,确立一个合理且有效的的多元回归模型.最后,利用回归模型进行预测并分析该模型的实效性.为指导人体生理健康及研究应用提供了较好的参考价值. This paper studies the correlation between human body oxygen uptake efficiency and the important index factors of humans. Firstly, the statistical software of R is used to establish a multiple linear regression model for the targeted study. Secondly, F test and t test are used to prove the significance of this model and the regression coefficient respectively, and through eliminating redundancy and the collinearity index, it establish a reasonable and effective multivariate linear regression model. Finally, the prediction ability and efficiency of this regression model is tested, which has much reference value to the study of human physiological health and its research application.

参考



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