Consumers of goods and services in a particular market are attracted by a set of value attributes that directly or indirectly qualify them in relation to their competitors. On the other hand, although the “price” is only one among the various attributes, it is often interpreted as a response variable that gathers the others, precisely because of their relevance level to the consumers budget constraint. This paper proposes to evaluate the level of influence and correlation of a set of explanatory variables in the prices of residential properties offered for rent and sale in the city of João Monlevade-MG, using multivariate linear regression models. The methodology is based on real information regarding the prices offered in the city and its structural and locational characteristics, to quote: number of rooms and parking spaces; number of police occurrences; proximity to the center, health centers and schools more nearby. As a result, it was possible to obtain a set of mathematical equations able to explain the price according to the predictor variables, as well as to understand the relation between these variables.