以前,人们研究过人的身体结构参数与健康测试指标的关系,他们采用的是不同类型的一元线性回归分析法。然而,这些分析往往会得出模棱两可的结果,会把事实上成非线性关系的两组数据说成是成线性关系。本文为了解决这一问题,运用简单的相关分析法和多元回归分析法,从而准确地研究 In the past, people studied the relationship between human body structure parameters and health test indicators, and they used different types of univariate linear regression analysis. However, these analyzes tend to yield ambiguous results, and the two sets of data, which are in fact non-linear, are said to be linear. In order to solve this problem, this article uses simple correlation analysis and multiple regression analysis to accurately study