Multivariate linear regression method based on SPSS analysis of influencing factors of CPI during epidemic situation

Jingren Liang
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引用次数: 2

Abstract

In this paper, the data of CPI, money supply and total social retail goods from December 2019 to September 2020 are taken as samples, and the multivariate linear regression method is used to establish the model and observe the multivariate linear regression relationship. The results show that the linear model with money supply and total social retail goods as independent variables and CPI as dependent variables has high prediction accuracy, that is, money supply and total social retail goods can affect the CPI of residents in China.
基于SPSS的多元线性回归方法分析疫情期间CPI的影响因素
本文以2019年12月至2020年9月CPI、货币供应量和社会零售商品总额数据为样本,采用多元线性回归方法建立模型,观察多元线性回归关系。结果表明,以货币供应量和社会零售商品总量为自变量,CPI为因变量的线性模型具有较高的预测精度,即货币供应量和社会零售商品总量会影响中国居民的CPI。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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