Resumen de Research on predictive control of students’ performance in PE classes based on the mathematical model of multiple linear regression equation
Xin Liu, Alaa Omar Khadidos, Mohammed Yousef
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
