MULTIVARIATE STATISTICAL ANALYSIS OF TRANSPORT LOGISTICS IN KAZAKHSTAN

2023

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DOI 10.52167/1609-1817-2023-125-2-88-96
Data confidence 70 medium
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Abstract

This article develops a fragmented approach to the study of changes in the dynamics of the main indicators of transport development on freight transportation in Kazakhstan. Its novelty and originality lies in the fact that the most pronounced indicators, such as rail, road and pipeline transport, were assessed using methods of multivariate regression analysis; a new regression equation was built; intervals of parameters of multiple regression were determined and modern mathematical software of the application software package, focused on the processing of statistical materials was used. Moreover, the results of research on transport logistics development indicators for freight transportation in Kazakhstan (billion tonnes/km) for 2016-2021, a schedule for calculating the parameters of the dynamic series, as well as econometric analysis of autocorrelation coefficients of freight turnover of the Republic of Kazakhstan are presented. The relevance of this article lies in the fact that the statistical data on the above indicators and their calculations using a mathematical apparatus have been investigated in Kazakhstan for the first time. The distribution of regional transport in terms of volume of traffic is shown in an expanded form. On the basis of the statistical data, a trend line of freight turnover corresponding to logarithmic approximation is constructed. All statistical data as well as determination coefficients by modes of transport and freight turnover are ranked in ascending order. In this paper, a detailed econometric analysis was carried out by mode of transport and freight turnover in Kazakhstan, using mathematical methods and the EXCEL application software package.