<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>Aiming to solve the problems in the traditional multiple regression analysis model for predicting college sports performance based on the principles of econometrics, a predictive model that combines genetic algorithm (GA), college sports performance evaluation and regression analysis is proposed. GA is used to conduct dynamic and supervised optimisation evaluation of college sports performance; on this basis, combined with regression analysis and GA's global optimisation capabilities, a complex nonlinear relationship between student sports performance and influencing factors is established; the student's performance is calculated based on the college sports performance. The results show that the method has high prediction accuracy and good stability.</p>
</abstract>

Aiming to solve the problems in the traditional multiple regression analysis model for predicting college sports performance based on the principles of econometrics, a predictive model that combines genetic algorithm (GA), college sports performance evaluation and regression analysis is proposed. GA is used to conduct dynamic and supervised optimisation evaluation of college sports performance; on this basis, combined with regression analysis and GA's global optimisation capabilities, a complex nonlinear relationship between student sports performance and influencing factors is established; the student's performance is calculated based on the college sports performance. The results show that the method has high prediction accuracy and good stability.

Research on predictive control of students’ performance in PE classes based on the mathematical model of multiple linear regression equation

Hunan University of Science and Engineering

Information Systems, Faculty of Computing and Information Technology

Applied Mathematics and Nonlinear Sciences

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

Aiming to solve the problems in the traditional multiple regression analysis model for predicting college sports performance based on the principles of...

Research on predictive control of students’ performance in PE classes based on the mathematical model of multiple linear regression equation

Online veröffentlicht: 22. Nov. 2021

Seitenbereich: 297 - 306

Eingereicht: 17. Juni 2021

Akzeptiert: 24. Sept. 2021

DOI: https://doi.org/10.2478/amns.2021.2.00058

Schlüsselwörter
regression analysis, college sports performance, college sports, performance, prediction

© 2021 Xin Liu et al., published by Sciendo

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

Research on predictive control of students’ performance in PE classes based on the mathematical model of multiple linear regression equation

Online veröffentlicht: 22. Nov. 2021

Seitenbereich: 297 - 306

Eingereicht: 17. Juni 2021

Akzeptiert: 24. Sept. 2021

DOI: https://doi.org/10.2478/amns.2021.2.00058

Schlüsselwörterregression analysis, college sports performance, college sports, performance, prediction

© 2021 Xin Liu et al., published by Sciendo

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

Schlüsselwörter
regression analysis, college sports performance, college sports, performance, prediction