THE INTERDEPENDENCE OF DEVELOPMENT INDICATORS OF HEALTH, UNEMPLOYMENT, ENVIRONMENT, LIVING STANDARDS AND CRIME

Abstract

Goal. To select among all of the indicators published by Rostat indicators relating to health, unemployment, environment, quality of life and crime, including such as the sale of alcoholic beverages to the public. To identify between these indicators of dependency and to build an equation that allows you to make predictions. Methods. We used methods of descriptive statistics, comparative analysis, correlation and regression analysis. Results. Analyzed more than 1000, selected 63 of the indicator. Between the selected indicators of the conducted correlation analysis on the basis of which was a regression analysis, the results of the last 5 selected dependencies, equations constructed on the basis of which it is possible to make predictions. Conclusion. Using the methods of descriptive statistics, comparative analysis, correlation and regression analysis have shown that this is a great opportunity to analyze data sets, identify new interdependencies between the social indicators. In the study, it was found that diseases of the blood and blood-forming organs and certain disorders involving the immune mechanism relates to registered unemployment and unemployment; the incidence per 1,000 of the population depends on diseases of the skin and subcutaneous tissue, diseases of musculoskeletal system and connective tissue, genitourinary diseases, respiratory diseases, diseases endocrine, nutritional and metabolic disorders; the number of refugees depends on the expenditures of the consolidated budgets of subjects of the Russian Federation on health care, physical culture and sport, the sale of beer per capita; insurance indemnity in % of all social benefits depend on the discharge of polluted wastewater into surface water bodies, sale of beer. The calculated multiple regression equation allow us to make predictions on key social indicators.