Research And Analysis Of Statistical And Mathematical Models Of College Students' Physique

What are the factors that affect the physical exercise of college students? How to improve the participation of college students in physical exercise? The research on these issues is of great significance in improving the national physical quality.The main work of this paper is to use statistical models and mathematical models to research and analyze the physical fitness of college students.As for the collected data,different models can be established according to the characteristics of the data,which can make more effective use of the purpose of data experimental research.The specific contents are as follows:1.Using methods of literature review,mathematical statistics and logic analysis,this paper analyzes the correlation between the pull-ups and other physical quality indicators in the 2016 physique test of a college in Anhui Province,then establishes a GM(1,1)model for the pull-up results,and put forward some specific implementations combined with the control variable method for improving the lead-up results of college students.2.The monthly incidence data of 40 kinds of legal infectious diseases(A,B and C)were extracted from the Chinese health database of EPS website,and then the collected data were typed into Eviews for cleaning and analysis.The collected data were analyzed by using the intermittent time series model,To evaluate the impact of the two policies,the national student physical health standard(2014 Revision)and the National Fitness Program(2016-2020),on the incidence of infectious diseases.3.Based on the classification of college students and the influence and flow law of inter-class population,this chapter establishes a differential equation system.By analyzing the existence and stability of the equilibrium point of this system and the possible fold or backward branches at the equilibrium point,the quantitative analysis of college students' physical exercise trends on campus is carried out.