Analysis of Satisfaction with Social Training Based on Multiple Linear Regression

With the rapid development of the information age and the change of employment the concept of vocational training conducted by higher vocational institutions for the society is not only beneficial to the employment in entrepreneur, but also conducive to the school's ability to improve the quality of talent training and the competence of school running. However, there are still a series of problems in conducting vocational and technical training for the society, such as insufficient analysis of students' satisfaction, low initiative of schools and teachers, insufficient curriculum and resources, insufficient applicability of training methods and weak practical teaching ability of teachers. In recent years, theories and methods of machine learning have been widely used in various engineering and disciplines to solve complex problems. Therefore, this paper first analyses the factors influencing social train-ing satisfaction using Pearson's correlation coefficient; then, it constructs a decision model of social training methods based on multiple linear regression to solve the problem of in-sufficient applicability of training methods, and verifies the effectiveness of the proposed model and method through experiments.