Correlation analysis of the dependence of oil refining on oil production

The aim of the work is to identify the statistical relationship between oil production and its refining and to determine the best way to study this relationship. Although it is economically clear that such an influence is mutual, in this case the exact degree of dependence is important, and therefore what equation connects the amount of oil refining and the size of its production. Linear and parabolic regression algorithms are used as research methods. The regression equation allows you to find out what the effect of the main factors on the dependent variable would be if other factors remain unchanged and random elements are excluded. Further, using the regression equation, interpolation and extrapolation methods can reproduce the values of the dependent variable both within the interval of specified values of independent variables and outside the specified interval. Data for 2007–2018 are taken deliberately. During this period, the economy developed without sharp economic, political and other surges, which provides more opportunities to trace the dependence of oil production on the volume of refining.