A statistical modeling study of regression analysis in the identification of factors influencing physical education teaching satisfaction
DOI:
https://doi.org/10.70917/ijcisim-2025-0299Keywords:
Multiple linear regression model; Least squares method; Pearson's coefficient; Teaching satisfaction; Physical educationAbstract
In order to accurately identify the key influencing factors of physical education teaching satisfaction, this study constructed a research model and hypotheses with student satisfaction as the dependent variable, covering multiple dimensions such as curriculum and teacher factors. Data were collected through questionnaires, Pearson correlation calculation method was utilized to screen out variables significantly related to satisfaction, and then a multiple linear regression model was established to solve the parameter estimates using the least squares method, and the t-test and P-value were used as the criteria for judging the significance of the parameters. The results of the study show that the overall satisfaction score of students towards physical education teaching is 3.678, which is moderate to high. Students' gender and grade level do not significantly affect their satisfaction with physical education teaching; however, due to the specialization of physical education majors, there is a significant difference between their satisfaction with “curriculum, teacher factors, practical teaching, teaching management and overall” and that of non-physical education majors (p<0.05). Regression analysis showed that the five independent variables of “curriculum, teacher factors, practice teaching, teaching security and teaching management” had a significant effect on the overall satisfaction of physical education teaching.
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Copyright (c) 2025 Li Li, Shuwei Zhang, Feng Li

This work is licensed under a Creative Commons Attribution 4.0 International License.