基于多元线性回归的新冠肺炎疫情影响下中美两国工业发展对比分析

Comparative Analysis of Industrial Development in China and the United States under the Impact of COVID-19 Based on Multiple Linear Regression

摘要: 本文在新冠疫情的背景下，基于多元线性回归函数，分析中国与美国在疫情期间经济发展状况，使用SPSS对数据进行多元线性回归分析，对中美两国的工业方面进行比较。利用2018年至2021年期间中美两国的GDP增长率对比分析，又利用2019年12月至2021年5月期间中美的工业增长率、制造业生产率、矿业生产率的历史数据，通过多元线性回归的方法进行曲线拟合，构建中美两国在疫情期间工业发展分析的最佳函数模型。结果显示，曲线拟合程度较高，且制造业对于工业发展有很大影响，并针对两国疫情发展状况，给出适当合理的工业发展建议。

Abstract: Based on the background of COVID-19, this paper analyzes the economic development of China and the United States during the epidemic period based on multiple linear regression function, and makes multiple linear regression analysis using SPSS to compare the industrial aspects be-tween China and the United States. Using the comparative analysis of the GDP growth rate between China and the United States during the period from 2018 to 2021, and using the historical data of Sino US industrial growth rate, manufacturing productivity and mining productivity during the period from December 2019 to May 2021, the multiple linear regression method was used to fit the curve of the growth rate of COVID-19 so as to construct the best function model for the analysis of industrial development between China and the United States during the epidemic. The results show that the curve fitting degree is high, and the manufacturing industry has a great impact on industrial development. According to the epidemic situation of the two countries, appropriate and reasonable industrial development measures are given.