Analysis of Correlation Between China's Gross Domestic Product and Fresh Food E-Commerce Transactions Scale 2014-2022 by Using Simple Linear Regression Model

Keru Xu

doi:10.47297/taposatWSP2633-456907.20230402

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Analysis of Correlation Between China's Gross Domestic Product and Fresh Food E-Commerce Transactions Scale 2014-2022 by Using Simple Linear Regression Model

Volume 4, Issue 2

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Analysis of Correlation Between China's Gross Domestic Product and Fresh Food E-Commerce Transactions Scale 2014-2022 by Using Simple Linear Regression Model
International Department of Beijing No.80 High School,Beijing,P.R. China,100020
Vol. 4, Issue 2, Pages: 46-52(2023)
Published： 2023 ，
DOI：10.47297/taposatWSP2633-456907.20230402

Full txt

Keru Xu. (2023). Analysis of Correlation Between China's Gross Domestic Product and Fresh Food E-Commerce Transactions Scale 2014-2022 by Using Simple Linear Regression Model. Theory and Practice of Science and Technology, 4(2), 46-52.
DOI：

Keru Xu. (2023). Analysis of Correlation Between China's Gross Domestic Product and Fresh Food E-Commerce Transactions Scale 2014-2022 by Using Simple Linear Regression Model. Theory and Practice of Science and Technology, 4(2), 46-52. DOI： 10.47297/taposatWSP2633-456907.20230402.

摘要

Abstract

Along with the gradual increase of China's Gross Domestic Product (GDP) and the technological advances in the era of big data

the grain production has reached a new high and the sales scale of fresh food e-commerce transactions has expanded. This paper will use the parameter estimation of linear regression model and model test to analyze. The relationship between China's GDP and the sales scale of fresh food e-commerce transactions in recent years is analyzed by using simple linear regression model

and forecasts are made for the future. A linear equation for China's GDP as well as the sales scale of fresh food e-commerce transactions is fitted using parameter estimation. Homoscedasticity

independence of observations and normality were performed on this linear equation. The results show that the use of simple linear regression models can be used to analyze and predict the future trends of China's GDP and Fresh Food E-Commerce Transaction Scale.

关键词

Keywords

Simple linear regressionGDPFresh Food E-Commerce Scale

references

Wang, X. (2017). Study on the profit distribution of fresh electricity supplier pricing and logistics system. Journal of Beijing Jiaotong University, 83-84.[2] Yu, L. (2019). Research on the development status and trend of Fresh E-commerce in China. Logistic Engineering and Management, 41: 113-15.[3] Li, J., Li, L., Liu, R., et al. (2022). Application of univariate linear regression analysis in data fitting of pressure sensor. Metrology and Measurement Technology, 42: 40-49.[4] Song, Q., Zhang, Y. (2023). Revised evaluation of ECMWF fine grid gust forecast products based on unitary linear regression. Journal of Shaanxi Meteorology, 17-22.[5] Park, J.Y., Kim, S.H., Jang, C.Y., et al. (2015). The audit method of cooling energy performance in office building using the simple linear regression analysis model. KIEAE Journal, 15: 13-20.[6] Bangdiwala, SI. (2018). Regression: Simple linear. International Journal of Injury Control and Safety, 25: 113-15.

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