Research on Prediction and Analysis of Real Estate Market Based on the Multiple Linear Regression Model

Since the housing reform in 1990s, China’s real estate market has expanded and developed rapidly. It quickly become pillar of national economy made a great contribution to economic growth. However, started late its development is not perfect, house prices show obvious volatility. Accurate prediction conducive government issuing appropriate regulatory policies, helping investors formulate correct investment strategies, guiding healthy long-term market. Based on statistical data market, this study analyzes influencing factors price, establishes multiple linear regression model, uses least square method solve unknown parameters finally constructs price model predict analyze The results that maximum error no more than 8%. above high accuracy can accurately efficiently.