Time Series Analysis of Sports Activity?s Influence on Psychological Health based on ARIMA Model

Time series analysis is a mathematics method for dynamic data processing. This technology makes use of random process theory, mathematical statistics, numerical analysis and other related methods to study the statistical rules observed by random data series, so as to solve practical problems. Time series analysis requisite mathematical model constructed to predict practical matters. ARIMA model(Autore gressive Integrated Moving Average) is a mathematics model which plays a significant role in predicting sports activity?s influence on middle school students? psychological health. By making use of mathematical statistics and logical reasoning methods, the paper has investigated and analyzed 20 students (10 male students and 10 female students) from A Middle School with Chinese Middle School Student Psychological Health Scale and Grading Standard. During the investigation, data of totally 30 time points was collected for modeling. By constructing the ARIMA model, we are to analyze and predict the collected data. The result show that It is an innovation to apply time series model in predicting and analyzing sports activity?s influence on students? psychological health.