Factors Affecting Chinese Economy During COVID-19 Based on Regression Model in SPSS

Abstract

The epidemic has had a profound impact on Chinese economy. In order to explore which factors have played an important role in Chinese economic development, this paper uses Internet software such as SPSS to construct a regression model to process and analyze economic data and evaluate its impact. First, we use SPSS software to construct a regression equation model that affects China's economic development. After that, we select four new factors affecting China's economic development : personal consumption level, financial data governance level, big data support capabilities, and robotics capabilities. After that, we use the SLOPE regression function model to calculate the P value, the correlation coefficient $\beta$ and the variance var value, and derived the regression parameter equation from this. Finally, based on regression equations and regression coefficients, new suggestions for China's economic development are put forward.