Mathematical Modeling and Forecasting of Economic Variables Based onLinear Regression Statistics
- Autores: Jing-Jing Huang, Horiya Aldeeb
- Localización: Applied Mathematics and Nonlinear Sciences, ISSN-e 2444-8656, Vol. 8, Nº. 1, 2023, págs. 409-416
- Idioma: inglés
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Resumen
Many economic variables are interdependent, restrictive, and influential. Finding the law of change betweeneconomic 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 andpredicting 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 credibilityof the prediction data from a practical level.
