Analysis of Influencing Factors of Medical Health Insurance Based on the Multiple Linear Regression Method

Zihan Xu

2025

Abstract

With the rapid development of the insurance industry and people's increasing attention to health, the insurance market has ushered in a good development space. However, the habits and needs of consumers directly affect the medical and health insurance industry. Exploring the control of influencing factors of health insurance can better allocate health care services to improve the efficiency of the health care system. Therefore, this paper selects variables and data related to personal medical consumption from the Kaggle website, takes the personal medical expenses charged by health insurance as the explanatory variable, and takes the age, gender, BMI index, number of children raised by the insured, whether the insured has smoking habits, and region as the explanatory variable to establish a multiple linear regression model and test it. The empirical results show that the age of the insured, the BMI index, the number of children raised, and whether the insured smokes have a significant impact on the personal medical expenses issued by the health insurance.

Paper Citation

in Harvard Style

Xu Z. (2025). Analysis of Influencing Factors of Medical Health Insurance Based on the Multiple Linear Regression Method. 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 31-36. DOI: 10.5220/0013813500004708

in Bibtex Style

@conference{iampa25,
author={Zihan Xu},
title={Analysis of Influencing Factors of Medical Health Insurance Based on the Multiple Linear Regression Method},
booktitle={Proceedings of the 2nd International Conference on Innovations in Applied Mathematics, Physics, and Astronomy - Volume 1: IAMPA},
year={2025},
pages={31-36},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013813500004708},
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 - Analysis of Influencing Factors of Medical Health Insurance Based on the Multiple Linear Regression Method
SN - 978-989-758-774-0
AU - Xu Z.
PY - 2025
SP - 31
EP - 36
DO - 10.5220/0013813500004708
PB - SciTePress