A utilização da inferência estatística para avaliação de imóveis urbanos através do método comparativo direto de dados de mercado: um estudo de caso no Condomínio Alto dos Franceses, São Luís, Maranhão

Abstract

The market value of a property is obtained through several methods, the most common being the direct comparative method of market data. In view of this, through statistical inference, it was possible to analyze the data obtained in the real estate market and measure the value of the property. The proposed research deals with the real estate valuation of an apartment located in the city of São Luís - MA, based on ABNT - NBR 14.653 - 2 (2019). Thus, the valuation of the property was carried out using the direct comparative method of market data, given that there was enough data (real estate) in the region's market for comparison with the property being valuated. Thus, this study aims to generate an estimated market value of the property being appraised. For this, the results were analyzed using the SisDea software through linear regression and statistical inference, where graphs and tables generated by the program will be observed, in order to obtain the minimum results required by the standard. To determine the market value of the good, characteristics or variables were adopted in the valuation model, such as private area, number of bedrooms, number of suites, elevator, parking spaces, finishing pattern, location, condominium fee, etc. Finally, a complete appraisal report was generated, containing all the information necessary to understand the final value of the property, reaching level II of justification, as provided for in the standard.