Work time study of administrative and managerial personnel (from the practice of correlation-regression method implementation)

UDK: 331.024.2

DOI: 10.24887/0028-2448-2025-10-6-11

Key words: administrative and managerial personnel, mathematical and statistical methods, correlation and regression method, calculation model, sample size, factors, number standards

Authors: A.V. Antosenkov (The Pipeline Transport Institute LLC, RF, Moscow); V.A. Zoteev (The Pipeline Transport Institute LLC, RF, Moscow); S.A. Kesaev (The Pipeline Transport Institute LLC, RF, Moscow); S.V. Malinin (The Pipeline Transport Institute LLC, RF, Moscow)

The article deals with the problem of developing work time study systems based on unified methodological approaches needed to define the number standards of administrative and managerial personnel. The main goal of the article is to examine methodological and practical application of correlation-regression analysis for the standards in question, highlighting most significant conditions and criteria for assessing calculated models. The authors made a brief review of scientific and methodological support for the practical application of mathematical statistics methods, including the correlation-regression analysis, used for the analysis of a wide range of socio-economic phenomena, as well as the development of work time standards. The article presents steps for implementation of correlation-regression analysis to develop the number standards, providing the main indicators for assessing the obtained models. The authors note both positive and negative sides of the method, highlighting conditions for its successful use. Much attention is given to issues concerning its practical application, in particular, the need to develop a procedure for obtaining initial data. The article provides a list of application programs that facilitates the use of mathematical statistics methods. The findings suggest that despite the drawbacks inherent in mathematical and statistical methods, when used correctly, these methods are an effective tool for solving problems in the field of developing number standards of administrative and managerial personnel.

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