Modeling and computing experiment in the problem of predicting the per capita monetary income of the population based on the methods of correlation and regression analysis

Abstract

The paper Considers the problem of average per capita monetary incomes of the population of the Stavropol territory over the period 2000 to 2015 and on the basis constructed in the work of multi-factor models, and software is forecast for 2016 - 2018. The numerical calculations are accompanied by statistical evaluations of predictive performance of the considered mathematical model, performed the analysis and discussion of the results. Created algorithmic software based on the regression models and methodology for conducting the corresponding computational experiment can be used in other applications of economic-mathematical modeling.