摘要
本文首先运用统计学原理对厦门市2016年全年每日影响PM2.5浓度的因素进行整体分析,并且利用统计软件检验其是否具有相关性,然后采用多元线性回归分析的方法构建合理的数学模型,预测厦门市2017年1月和2月的PM2.5的浓度,最后结合预测结果提出了合理建议。
In this paper, we use the statistical principle to analyze the factors influencing the concentration of PM2.5 in Xiamen daily in 2016, and use statistical software to test whether it has correlation at first. Then we use the method of multiple linear regression analysis to build reasonable mathematical model, to forecast the concentration of PM2.5 in Xiamen during January and February 2017. Finally, reasonable suggestions are put forward according to the prediction results.
出处
《统计学与应用》
2017年第3期311-319,共9页
Statistical and Application
