@article {17634,
	title = {Modelos de precifica{\c c}{\~a}o para loca{\c c}{\~a}o e venda de im{\'o}veis residenciais na cidade de Jo{\~a}o Monlevade-MG via regress{\~a}o linear multivariada},
	journal = {Revista GEPROS - Gest{\~a}o da Produ{\c c}{\~a}o, Opera{\c c}{\~o}es e Sistemas},
	volume = {14},
	number = {3},
	year = {2019},
	abstract = {
	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 {\textquotedblleft}price{\textquotedblright} 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 Jo{\~a}o 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.

},
	url = {https://revista.feb.unesp.br/index.php/gepros/article/view/2614},
	author = {Vanessa Silva Rosa and Paganini Barcellos de Oliveira and Rafael Lucas Machado Pinto}
}
