Abstract
Housing is an indispensable material basis for people's lives, and its price significantly impacts their lives. There are various forms of valuation to determine the price, and the simplest is to determine the price at which the property would have traded on a particular date. However, there is a wide range of purposes for which valuation is required. The cost of a property depends on factors such as size, floor, location, parking space, etc. The purpose of this paper is to use a multivariate back model as a basis for sub-categorizing the factors that affect the price of real estate and provides a reference for residential real estate price management and regulation.
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