Research on the Development Trend of New Energy Vehicles in China Based on Pearson Correlation Analysis and Polynomial Fitting

The purpose of this paper is to analyse multiple factors that influence the development of new energy vehicles in China and to predict the future development trend. First, this paper selects 12 representative factors, including total vehicle sales, new energy vehicle penetration, pollutant emissions, economic indicators, etc., and uses Pearson correlation analysis to verify their relationship with new energy vehicle sales. The results show that nine of these indicators are significantly correlated with new energy vehicle sales, which provides a basis for subsequent modelling. Next, establishes a quadratic polynomial model using the polynomial function fitting method to predict the sales volume of new energy electric vehicles in China in the next 10 years. The model evaluation shows a good fit, with little difference between the predicted and actual values and a coefficient of determination close to 1. Finally, combining the model prediction results and the analysis of the influencing factors, this paper describe the trend of the future development of China's new-energy electric vehicle industry, including the influences of governmental support, technological advancement, environmental protection awareness, market competition, and infrastructure construction, and look ahead to the development of new-energy automobile market.