Research on the Influencing Factors of New Energy Cars Prices

Abstract

This article aims to identify those factors that have an impact on new energy vehicle prices. The method of multiple linear regression is used to analyze the significant factors using 100 samples from Kaggle. Based on an assumption, 13 variables that were chosen do correlate with new energy car prices. This paper will analyze these following factors: energy type, engine power, reviews count, seating capacity, fuel tank capacity, body type, rating, no cylinder, max power rp, max power bhp, max power rpm, max power nm, transmission type. This article uses multiple linear regression models to analyze these factors’ influence on new energy vehicles. Overall, new energy vehicle prices can be analyzed by the extent to which these factors affect them. By calculation, it is determined that engine power, no cylinder, and max power bhp will have a significant positive impact on the starting price. Max torque rpm and max torque nm will have a significant negative influence on the starting price.