Application of Multiple Regression Prediction and Principal Component Analysis in Enterprise Social Security Payment——Take State Grid Mengdong Integrated Service Company as an example

Multi-regression prediction model and principal component analysis have important applications in the field of engineering technology and management science. Through the analysis and modeling of a large number of data, the intrinsic relationship between variables can be effectively excavated, so as to obtain the future development trend and component structure of the research subject. Taking State Grid Mengdong Integrated Service Company as the research object, this paper measures the social security payment amount and the structure of social security project in the next two years through the multi-regression prediction model and principal component analysis. Firstly, this paper builds a prediction model, and then analyzes the marginal value and elastic value of the model. Then, the dimension reduction method is used to calculate the linear combination coefficient and weight. The results show that the company's social security payment will fluctuate little in the next two years, but the social security project structure is unreasonable.