Research on Mental Health Status and Influence Factors of College Students Based on Multivariate Analysis and Bayesian Discrimination

Keywords:multivariate analysis; bayesian discrimination; multivariate variance analysis; linear best solution; independent variables; highly correlated variables Abstract. In recent years, with the accelerating pace of society, mental health problems of college students concerned by the communities widely. Due to the psychology of college students is not mature, campus accidents caused by psychological problems are increased every year. So, the research and analysis on the mental health of college students are very necessary. Firstly, this paper establishes college mental health variables analysis model using multivariate data analysis and puts forward the math regression model of independent variable and highly correlated variables. Then, it finds out the main factors that affect the mental health of college students by multivariate Bayesian discrimination, and puts forward the best solution of linear multivariate analysis of variance. Finally, it substitutes all the statistical data into the SPSS software and does the mathematical multivariate analysis, and gives the detailed calculation steps and results. It analyzes the results of curve which proved the reliability and stability of the analysis of psychological conditions and provides a reliable theoretical foundation for the college students ' mental status and influencing factors