Huan Xia, Shuai Wu, and Xiuzhang Yang.  Research on Economic Problems under Least Squares Linear Regression Analysis Model.  Dynamic Systems and Applications 29 (2020) No. 3, 743-756

https://doi.org/10.46719/dsa202029327

ABSTRACT. A multiple regression analysis model is a statistical method that sets a certain variable as the dependent variable and sets the remaining variables as independent variables. It establishes a linear or non-linear mathematical model of the multivariate relationship between the quantities and uses sample data for analysis. Economic growth has become a topic of increasing concern in today’s society. The article uses the time series ARIMA model to analyze and analyze China’s economic growth data, analyzes the impact of factors such as consumption, investment, and export trade on national economic growth, and establishes the linearity of Chinese economic growth mathematical model. Finally, quantitative analysis is used to test and predict the Chinese economic growth model. The research results show that consumption, investment, export trade and other factors are positively correlated with domestic economic growth. It is suggested to increase domestic demand, promote consumption, improve investment structure and optimize exports during the process of economic growth.

Keywords: Least Squares Linear Regression Analysis Model(LOS); Time series analysis; Quantitative analysis; China’s economy; Mathematical model