Real estate price forecast based on multiple linear regression analysis

摘要

A new real estate forecast mode is proposed to predict the right price, which is based on gray theory and multiple linear regression prediction models. Firstly, GM (1,1) model is used to predict the residential land price, average wage, per capita disposable income of urban residents. Then classical multiple linear regression model is used to predict the housing price. It can be seen from the empirical analysis, commercial housing sales price can be predicted more accurately and can provide strong evidence for real estate developers in order to make the right decision analysis.