Projection of Economic Volatility Level Based on Multiple Regression Analysis of Key Data
Yu‐Lin Li · 2020
This paper studies the prediction model of economic fluctuation level, reduces the risk of economic fluctuation, and puts forward the prediction method of economic fluctuation level based on multivariate regression analysis of key data. To construct the multivariate statistical analysis model of the key data of the economic fluctuation level under the globalization environment, to extract the fuzzy characteristic quantity reflecting the economic fluctuation level under the globalization environment, to establish the statistical characteristic quantity of the economic fluctuation level forecast under the globalization environment, to use the economic fluctuation level correlation data fusion tracking identification method, to carry on the world economic fluctuation level forecast model transmission information adaptive fusion and the characteristic clustering, to combine the fuzzy judgment method to carry on the economic fluctuation level optimization judgment under the globalization environment, the economic fluctuation level appraisal and the optimization decision tare obtained based on the key data multivariate regression analysis technology under the globalization environment, the stability and adaptability of economic fluctuation level prediction in the global environment is improved. The simulation results show that the accuracy of the prediction of economic fluctuation level is high and the convergence of the prediction process is good, which improves the stability and safety of the economic development level.