Empirical study of the relationship of indicators of the real sector of the economy of Kazakhstan

When studying the degree of closeness of the relationship between the indicators with the help of correlation analysis, it is impossible to identify a complete picture of the relationships. Paired correlation coefficients show the level of connection between two indicators with the indirect influence of others. Therefore, one should be careful when analyzing paired correlation characteristics. For example, according to the values of paired correlation coefficients, there are close statistical links between all indicators of the branches of the real sector of the economy of Kazakhstan. We consider it insufficient to limit ourselves to such a statement, since there is no clarity in the essence of the relationships. For such studies, we propose to apply factor analysis - one of the methods of multidimensional statistical analysis. The advantage of factor analysis is that the method under consideration allows you to divide the set of analyzed indicators into mutually independent groups of indicators. The criterion for assessing the mutual independence of the identified groups of indicators is the identity of the variability of the distribution of data values. The article presents the results of several variants of the division of real sector industries into independent groups according to the stated criterion. According to the method of factor analysis, the root causes of the variability of indicators of groups of industries are mutually independent factors. Interpretation of the nature of such factors is considered a subjective task.