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

Authors :
Huang Jiong
Aldeeb Horiya
Source :
Applied Mathematics and Nonlinear Sciences, Vol 8, Iss 1, Pp 409-416 (2023)
Publication Year :
2023
Publisher :
Sciendo, 2023.

Abstract

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.

Details

Language :
English
ISSN :
24448656
Volume :
8
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Applied Mathematics and Nonlinear Sciences
Publication Type :
Academic Journal
Accession number :
edsdoj.455bad4d3051476c99692ef49451cd75
Document Type :
article
Full Text :
https://doi.org/10.2478/amns.2022.2.00023