Exploring the Influencing Factors of Automobile Prices Based on the Dataset for Vehicle Price Prediction

Boyu Wang

2025

Abstract

With the continuous development of the automotive market, the research on the influencing factors of car prices plays a crucial role in industry decision-making and consumer guidance. However, previous studies on the factors affecting car prices have only remained at the level of single variable analysis, lacking a systematic analysis of the combined influence of multiple variables, making it difficult to provide a scientific basis for market behavior. Therefore, this paper aims to study the influence mechanism of key variables such as production year, engine displacement, and mileage on car prices. This study uses descriptive statistics, correlation analysis, and multiple linear regression models to quantify the impact of each variable on car prices. To address the issue of insufficient variable correlation analysis, correlation analysis is used to explore the initial connections between variables. Further, through multiple linear regression models, the specific impact of each factor on price is clarified. Based on 10,000 car data, the model was constructed, and it was found that the production year has the most significant impact on price, followed by engine displacement and mileage, with the model's explanatory power reaching 87.6%. The number of doors and the number of owners have no statistically significant impact on price. These conclusions provide consumers with a "year + mileage" dual-core evaluation framework.

Paper Citation

in Harvard Style

Wang B. (2025). Exploring the Influencing Factors of Automobile Prices Based on the Dataset for Vehicle Price Prediction. 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 600-604. DOI: 10.5220/0013833900004708

in Bibtex Style

@conference{iampa25,
author={Boyu Wang},
title={Exploring the Influencing Factors of Automobile Prices Based on the Dataset for Vehicle Price Prediction},
booktitle={Proceedings of the 2nd International Conference on Innovations in Applied Mathematics, Physics, and Astronomy - Volume 1: IAMPA},
year={2025},
pages={600-604},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013833900004708},
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 - Exploring the Influencing Factors of Automobile Prices Based on the Dataset for Vehicle Price Prediction
SN - 978-989-758-774-0
AU - Wang B.
PY - 2025
SP - 600
EP - 604
DO - 10.5220/0013833900004708
PB - SciTePress