O tratamento de dados na avaliação de imóveis urbanos por meio de regressão linear

Abstract

Due to the growth of cities and the need to improve and expand the infrastructure of urban services, the Evaluation Engineering is the tool that allows the determination of fair compensation for expropriations for public utility. This exploratory work aimed to deepen the knowledge on the concepts of Evaluation Engineering and Linear Regression and point out the advantages and disadvantages of using Linear Regression as a data treatment model when using the Direct Comparative Market Data Method to determine the value of market for an urban property. The proposed case study comprised the re-elaboration of existing Urban Property Appraisal Reports in a public service concessionaire in Goiás, applying linear regression and building a comparative result between the indemnity values obtained with those calculated by other methods. With the study, it was possible to know the functionality and operation of Linear Regression as a data treatment model for the evaluation of urban properties. This data treatment model proves to be advantageous, as it offers normative support and minimizes subjectivity and imprecision in the assessments. The objectives of the study were achieved, however, flaws in the existing reports used in the research limited the scope of the proposed comparison, as well as the absence of legislation or regulations to guide the valuations of properties that are within restricted areas, such as Areas of Permanent Preservation and Green Areas.