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

被引:1
|
作者
Huang, Jiong [1 ,2 ]
Aldeeb, Horiya [3 ]
机构
[1] Kunming Univ Sci & Technol, Sch Management & Econ, Kunming 650092, Yunnan, Peoples R China
[2] Yunnan Normal Univ, Sch Math, Kunming 650500, Yunnan, Peoples R China
[3] Appl Sci Univ, Coll Adm Sci, Al Ekir, Bahrain
关键词
Linear regression analysis; Economic variables; Gross regional product; Mathematical modeling;
D O I
10.2478/amns.2022.2.00023
中图分类号
O29 [应用数学];
学科分类号
070104 ;
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.
引用
收藏
页码:409 / 416
页数:8
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