Forecasting the Electric Vehicle Market Based on Multiple Linear Regression, Time Series Analysis, and DID Models

Yuchen Wu

2025

Abstract

In recent years, the electric vehicle market has seen significant growth, making the prediction of its market prospects essential. This study analyzes the market outlook for electric vehicles, focusing on the relationship between car prices and battery demand. A multiple linear regression model was employed to assess the impact of these factors on car sales volume. The results show that car prices and sales are negatively correlated, while battery demand is positively correlated with sales, highlighting key market dynamics. Additionally, time series analysis was used to forecast Tesla's stock development, indicating a strong association between stock price fluctuations and market trends. Using the difference-in-differences (DID) model, this paper evaluated the effects of relevant policies on the electric car market, finding that policy incentives significantly boost sales growth. Overall, this research offers a quantitative forecast for the electric vehicle market, validating the influence of price and demand on sales and illustrating the interaction between market conditions and policy factors. These insights are valuable for decision-makers and investors, suggesting a promising growth potential for the electric car market in the future.

Paper Citation

in Harvard Style

Wu Y. (2025). Forecasting the Electric Vehicle Market Based on Multiple Linear Regression, Time Series Analysis, and DID Models. In Proceedings of the 2nd International Conference on Innovations in Applied Mathematics, Physics, and Astronomy - Volume 1: IAMPA; ISBN 978-989-758-774-0, SciTePress, pages 384-390. DOI: 10.5220/0013826400004708

in Bibtex Style

@conference{iampa25,
author={Yuchen Wu},
title={Forecasting the Electric Vehicle Market Based on Multiple Linear Regression, Time Series Analysis, and DID Models},
booktitle={Proceedings of the 2nd International Conference on Innovations in Applied Mathematics, Physics, and Astronomy - Volume 1: IAMPA},
year={2025},
pages={384-390},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013826400004708},
isbn={978-989-758-774-0},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 2nd International Conference on Innovations in Applied Mathematics, Physics, and Astronomy - Volume 1: IAMPA
TI - Forecasting the Electric Vehicle Market Based on Multiple Linear Regression, Time Series Analysis, and DID Models
SN - 978-989-758-774-0
AU - Wu Y.
PY - 2025
SP - 384
EP - 390
DO - 10.5220/0013826400004708
PB - SciTePress