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

• Autores: Xin Liu, Alaa Omar Khadidos, Mohammed Yousef
• Localización: Applied Mathematics and Nonlinear Sciences, ISSN-e 2444-8656, Vol. 7, Nº. 2, 2022, págs. 297-306
• Idioma: inglés
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• Resumen

  • Aiming to solve the problems in the traditional multiple regression analysis model for predicting college sports perfor-mance based on the principles of econometrics, a predictive model that combines genetic algorithm (GA), college sportsperformance evaluation and regression analysis is proposed. GA is used to conduct dynamic and supervised optimisationevaluation of college sports performance; on this basis, combined with regression analysis and GA’s global optimisationcapabilities, 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 highprediction accuracy and good stability