Abstract:

This study investigated the relationship of important economic and social indicators of the region and their impact on the formation of the volume of paid services per capita. This indicator was chosen as the main one, since high consumption of services per capita is typical for regions with a high level of economic development. As auxiliary factors, 34 indicators were selected that fully characterize the region. The main method of our research is the methods of mathematical statistics and machine learning. The study shows which factors directly affect the amount of paid services per capita, and a mathematical model was built that allows us to accurately predict the indicator we chose if only auxiliary ones are known.