Mathematical Modeling and Forecasting of Economic Variables Based on Linear Regression Statistics
Publié en ligne: 15 juil. 2022
Pages: 409 - 416
Reçu: 19 janv. 2022
Accepté: 14 mars 2022
DOI: https://doi.org/10.2478/amns.2022.2.00023
Mots clés
© 2023 Jiong Huang et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
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.