{"title":"Multivariate linear regression method based on SPSS analysis of influencing factors of CPI during epidemic situation","authors":"Jingren Liang","doi":"10.1109/ICEMME51517.2020.00062","DOIUrl":null,"url":null,"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.","PeriodicalId":447872,"journal":{"name":"2020 2nd International Conference on Economic Management and Model Engineering (ICEMME)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 2nd International Conference on Economic Management and Model Engineering (ICEMME)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICEMME51517.2020.00062","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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.