Statistical Study on Undergraduate Employment Rate Based on Regression Analysis

Siyu Liu

2025

Abstract

Against the backdrop of higher education universalization and transformative shifts in labor market structures, undergraduate employment has emerged as a societal concern. This study is based on the employment rate of Chinese undergraduate students from 2018 to 2022 and related macro data. A multiple linear regression model is constructed, which includes GDP growth rate, education funding investment, and the proportion of the tertiary industry. The impact mechanism of each factor on the employment rate is systematically analyzed. Research has found that the direct driving effect of GDP growth rate on employment rate is most significant (regression coefficient 0.780), and the synergy effect between education funding investment (0.250) and the proportion of the tertiary industry (0.410) is formed by improving talent quality and optimizing employment structure. Model predictions show that the employment rate for undergraduate students will reach 92.500% by 2025, with an average annual growth rate of 0.800 percentage points. The research results provide a quantitative basis for optimizing government policies, adjusting university majors, and student career planning, emphasizing the importance of the synergistic effect of economic growth, education investment, and industrial upgrading in alleviating employment market contradictions.

Paper Citation

in Harvard Style

Liu S. (2025). Statistical Study on Undergraduate Employment Rate Based on Regression Analysis. 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 42-46. DOI: 10.5220/0013813700004708

in Bibtex Style

@conference{iampa25,
author={Siyu Liu},
title={Statistical Study on Undergraduate Employment Rate Based on Regression Analysis},
booktitle={Proceedings of the 2nd International Conference on Innovations in Applied Mathematics, Physics, and Astronomy - Volume 1: IAMPA},
year={2025},
pages={42-46},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013813700004708},
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 - Statistical Study on Undergraduate Employment Rate Based on Regression Analysis
SN - 978-989-758-774-0
AU - Liu S.
PY - 2025
SP - 42
EP - 46
DO - 10.5220/0013813700004708
PB - SciTePress