Analysis of the Factors Which Influence the Academic Performance of Students and Regression Prediction Based on Multiple Linear Regression

Authors

  • Hu Yang School of Marxism, Tongling University, Tongling, Anhui 244061, China
  • Zhanwei Zhu School of Foreign Languages, Hubei University of Automotive Technology, Shiyan, Hubei 442002, China

Abstract

Student performance is the most direct reflection of students’ academic levels, and it is influenced by many factors. In this study, we analyzed the factors affecting students’ performance from three perspectives, school, family and individual based on several assumptions, we established an analysis index system, and obtained data through interviews and questionnaires for regression analysis. The results show that the three factors have a positive impact on students’ performance, with school having the largest impact and family, the smallest. School quality had the most significant impact on students’ performance. School atmosphere had a weak influence. Family, parents’ educational level and parents’ occupation had a large impact on students’ performance. Family income had a small impact. In relation to individual aspects, responsibility had the highest influence, followed by psychological state and living habits. The performance of students can be predicted according to the regression analysis results. This work provides a basis for education workers to improve student performance.

Keywords: multiple linear regression, student achievement, influencing factors, regression prediction

Cite As

H. Yang, Z. Zhu, "Analysis of the Factors Which Influence the Academic Performance of Students and
Regression Prediction Based on Multiple Linear Regression", vol. 30 no. 5, pp. 399-406, 2022.






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Published

2022-09-01

Issue

Vol. 30 No. 5 (2022): International Journal of Engineering Intelligent Systems

Section

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