On the Issue of Using Analysis of Variance to form Objective Information when Providing Services in Real Estate Agencies

Purpose of the study. The purpose of the study is to determine the possibilities of using dispersion analysis as a tool for increasing business profitability by obtaining and providing clients in real estate agencies with objective criteria information when they provide intermediary and consulting services.

Materials and methods. The information base of the study was statistical data on the real estate market of the city of Yaroslavl. Quantitative indexes were assessed for compliance with the normal distribution using the Kolmogorov-Smirnov and Shapiro-Wilk tests. When presenting the results of descriptive statistics, the median (Me), lower and upper quartiles (Q1-Q3) were used. Two-factor analysis of variance, nonparametric Kruskal-Wallis tests and Mann-Whitney U-test were used as statistical tools for the study. Dunn’s test with Bonferroni correction was used for performing posteriori comparisons. The exclusion method was used to select data for multiple linear regression. Statistical data processing was performed on a personal computer using the SPSS Statistics v. 27.0 program (SPSS Inc., USA). The significance level was taken to be 0.05.

Results. The necessity of using dispersion analysis to improve the efficiency of real estate agencies in providing professional services is substantiated. The concept of criterion information is formulated as a necessary and sufficient volume of data obtained by objective methods to reduce the risk of errors in selecting apartments for clients. The cost per square meter of housing is compared depending on various

factors influencing the choice of a professional solution. A multiple linear regression equation is constructed to predict the cost of housing.

Conclusion. The author’s model of using the possibilities of dispersion analysis as a tool for forming the necessary criterion information for clients allows increasing the profitability of business in real estate agencies.

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