REGRESSIONAL ANALYSIS OF SOCIO-ECONOMIC INDICATORS AFFECTING LIFE LENGTH
E.N. Galushina1, P.V. Galushin2, A.V. Tynkevich1
1Krasnoyarsk State Medical University named after Professor V.F. Voino-Yasenetsky, Krasnoyarsk, Russian Federation
2Siberian Law Institute of the Ministry of Internal Affairs of Russia, Krasnoyarsk, Russian Federation
Keywords: ожидаемая продолжительность жизни, регрессионная модель, R, социально-экономические факторы, информационный критерий Акаике, корреляция, life expectancy, regression model, socio-economic indicators, Akaike information criterion, correlation
Abstract
In this paper, we consider the influence of socio-economic indicators on the life expectancy in the regions of the Russian Federation, identify which of them are statistically significant, predict the life expectancy and model the life expectancy in the «ideal» region of the Russian Federation. The model of life expectancy was built using multiple regression analysis by eliminating insignificant factors. The effectiveness of the model was evaluated using the Akaike information criterion.
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