Influencing Factors Analysis of Housing Prices Based on Multiple Regression——A Case Study of Chengdu

The excessive rapid growth of housing prices is fundamentally resulted from the different influencing factors of the real estates markets and the indiscriminate regulatory policy which responds less well to the multi-outlet markets. In such a context, by use of the relevant data from the year 2000 to 2010 in Chengdu and the SPSS16.0 software, a quadratic polynomial regression model is thus established and a final model is formed after testing. The results show that the principal influencing factors are the urbanization rate, the residential investment amount and the completed rate of residential buildings, based on which corresponding suggestions for the control of housing prices are put forth for Chengdu.