Increasing Efficiency of the Housing Administration System

Abstract

The article describes the results of the study of the dynamics of sales of primary residential real estate city of Chelyabinsk, on the example of the neighborhood "Poplar Alley". The aim of the analysis was to determine the rate of property sales, the identification of patterns and the formation of recommendations aimed at increasing the efficiency of distribution. Сorrelation and regression and cluster analysis have been used as the research methods. Correlation and regression analysis have revealed not only the closeness and direction of relationships between selected factors, which describe the characteristics of the houses, and the pace of sales, but also to determine the causal relationship between them. Cluster analysis have allowed to form a group of objects based on similar sales rates, as well as to compare the characteristics of objects within groups. This enabled to identify the characteristics that are inherent in their homes with the most effective sales pace.