Analysis on HR management strategy based on principal component and multivariate regression model

Abstract

Regression analysis is a predictive modeling technology in big data analysis. In the field of statistics, regression analysis is an analytical method to determine the quantitative relationship between two or more variables. As one of the regression analysis methods, the multiple regression model can achieve the purpose of outcome prediction and discriminant analysis in the fields of data mining and economic forecasting. Especially in the case analysis with many influencing factors and complex conditions, the model is established from a linear perspective, and the influence of various factors on the output variables is analyzed through the weights in the obtained results. Combining multivariate analysis with principal component analysis, the main influencing factors can be screened out before correlation analysis, and the linear correlation analysis environment can be filtered to make the linear results more accurate and unsusceptible to extreme samples. This paper collects the data of national enterprise income and its related influencing factors from 2010 to 2020, and establishes a multiple regression model based on principal component analysis to study human resource management in China.