基于多元线性回归的新能源汽车销量影响因素研究

Research on Influencing Factors of New Energy Vehicle Sales Based on Multiple Linear Regression

摘要: 随着当今世界科技的快速发展，汽车行业也随之飞速发展。在带给人们出行便利的同时，燃油车对于世界上不可再生资源的消耗以及其对环境的恶劣影响，人们不得不选择更加经济环保的新能源汽车，其中以纯电动汽车发展的最为迅速。现在人们在买车时都会考虑新能源汽车，这对新能源汽车企业来说既是机遇又是挑战。本文通过2021~2022年我国主流新能源汽车的销量统计，利用多元线性模型进行线性回归，来分析影响新能源汽车销量的几个因素，主要有价格、充电时间、百公里能耗及电池类型等因素，并通过异方差检验以及多重共线性检验来验证模型的可行性。最终通过标准化回归模型来找出对销量影响的最主要因素是电池充电时间，为新能源汽车企业以及消费者提供一定的帮助。

Abstract: With the rapid development of science and technology in today’s world, the automobile industry also develops rapidly. While bringing convenience to people’s travel, due to the consumption of non renewable resources in the world and its adverse impact on the environment, people have to choose more economical and environmentally friendly new energy vehicles, among which pure electric vehicles are developing most rapidly. Now people will consider new energy vehicles when buying cars, which is both an opportunity and a challenge for new energy vehicle enterprises. Based on the sales statistics of China’s mainstream new energy vehicles from 2021 to 2022, this paper uses the multiple linear model for linear regression to analyze several factors affecting the sales of new energy vehicles, mainly including price, charging time, 100 km energy consumption and battery type, and verifies the feasibility of the model through heteroscedasticity test and multiple collinearity test. Finally, the standardized regression model was used to find out that the most important factor affecting the sales volume was the battery charging time, so as to provide some help for new energy vehicle enterprises and consumers.