摘要
为研究影响肺癌死亡率的因素,本文基于美国数据(DATA USA)中的相关数据作为样本,建立以肺癌死亡率因变量的路径模型。首先通过相关分析确定纳入模型的解释变量,运用SPSS软件分析所获得的样本数据,通过逐步回归法建立回归方程,得到相关系数和回归系数,并绘制路径图。分析结果表明:抽烟是引发肺癌的主要原因之一,此外石油,煤和内燃机等燃烧后和沥青公路尘埃产生的苯等有害物质也是导致肺癌的重要因素,因此应该提倡不吸烟,并加强城市环境卫生工作。
In order to study the factors affecting lung cancer mortality, this paper selected relevant DATA from Data USA as samples to establish a path model based on dependent variables of lung cancer mortality. Firstly, the explanatory variables included in the model were determined by correlation analysis, and the sample data obtained were analyzed by SPSS software. The regression equation was established by step-by-step regression method, and the correlation coefficient and regression coefficient were obtained, and the path diagram was drawn. The analysis results show that smoking is one of the main causes of lung cancer. In addition, benzene and other harmful substances produced by the combustion of petroleum, coal, internal combustion engines and asphalt road dust are also important factors of lung cancer. Therefore, we should advocate non-smoking and strengthen the urban environmental health work.
出处
《应用数学进展》
2021年第3期666-673,共8页
Advances in Applied Mathematics