Research Article
Multiple Statistical Analysis of the Influencing Factors of the Retail Price Index
@INPROCEEDINGS{10.4108/eai.17-6-2022.2322819, author={Xinying Wan}, title={Multiple Statistical Analysis of the Influencing Factors of the Retail Price Index}, proceedings={Proceedings of the International Conference on Information Economy, Data Modeling and Cloud Computing, ICIDC 2022, 17-19 June 2022, Qingdao, China}, publisher={EAI}, proceedings_a={ICIDC}, year={2022}, month={10}, keywords={multiple linear regression principal component analysis retail price index sas}, doi={10.4108/eai.17-6-2022.2322819} }- Xinying Wan
Year: 2022
Multiple Statistical Analysis of the Influencing Factors of the Retail Price Index
ICIDC
EAI
DOI: 10.4108/eai.17-6-2022.2322819
Abstract
With the improvement of the income level of people, our country's economic level has continued to improve. However, due to the differences in geographical and historical conditions in various regions, there is a large gap in the level of economic development in various regions of our country, and there are also significant differences in the prices of different commodities. This article uses the multiple linear regression and Principal Component Analysis (PCA) by SAS to explore the impact of the Retail Price Index (RPI) and different factors, such as the Producer Price Index (PPI) of agricultural production materials and the PPI of industrial production, the Purchasing Price Index (PRI) of industrial producers, and the Price Index of Investment in Fixed Asset.