Mathematical Modeling and Forecasting of Economic Variables Based on Linear Regression Statistics

作     者：Huang, Jiong Aldeeb, Horiya 

作者机构：Kunming Univ Sci & Technol Sch Management & Econ Kunming 650092 Yunnan Peoples R China Yunnan Normal Univ Sch Math Kunming 650500 Yunnan Peoples R China Appl Sci Univ Coll Adm Sci Al Ekir Bahrain 

出 版 物：《APPLIED MATHEMATICS AND NONLINEAR SCIENCES》 (Appl. Math. Nonlinear Sci.)

年 卷 期：2023年第8卷第1期

页      面：409-416页

核心收录：

主　　题：Linear regression analysis Economic variables Gross regional product Mathematical modeling 

摘      要：Many economic variables are interdependent, restrictive, and influential. Finding the law of change between economic variables and influencing factors and expressing this law in mathematical expressions will bring great convenience to forecasting. A statistical analysis method that uses mathematical equations to determine the quantitative relationship between two or more variables. This is more commonly used when estimating and predicting the value of the dependent variable. The article analyzes the data on the National Bureau of Statistics website and uses the method of multiple linear regression to fit the graphs of economic indicators. Finally, the forecast data is analyzed in detail. We evaluated the modeling method of the prediction model and the credibility of the prediction data from a practical level.