Abstract
This article discusses the use of multifactorial regression analysis to solve problems to improve the efficiency of human resource management.The main aim of the article is to develop methods of using multifactorial regression analysis for quantitative studies of the efficiency of human resource management. Problems of human resource management at all times are highly relevant. Proper recruitment, evaluation, development of motivation systems are the key links in the chain of problems of increase of organization productivity. Application of statistical methods for HR analytics allows seeing the reserves of increase productivity, reducing turnover, etc. The developed technique allows identifying three key performance indicators of personnel management services; based on the characteristics of the contents of the factors influencing the HRM, select the private performance indicators for multivariate regression analysis and build a multifactorial regression model. The research results can be applied in practice of HR departments to improve the efficiency of personnel and the development of personnel policy.
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