Study On Investment Estimation Method For Residential For Sale

In recent years, the development of the real estate market attracts most attention of public. As an important component of real estate, the price volatility of the residential for sale has an important impact on the operation of the entire national economy and social stability. In recent years, the rapid increase in housing price has aroused widespread concern in the community. There are many factor, the cost is a very important aspect. Because of this, raising the real estate market's transparency, so that can the public understand the true level of housing costs, it has become all sectors of the community's request.This paper focuses on the investment estimation mthod for residential for sale, based on great amount of investigation and deep analyze of investment estimation methods and models of construction project both domestic and abroad, through actual investigations, according to the influential factors of investment estimation and data of construction consulting companies, this paper developed an investment estimation model based on multiple statistics analysis, and bring the data of Xi'an as an example to verify the effectiveness of the method. By using SPSS sorftware, we found that remarkable correlations between basic variables and data of sample are very clear after doing correlation analysis, then we use regression analysis, which is a kind of predicted method of the relation between cause and effect, is used as a way to build the predict model. When model tests are met and special analysis and dealing with of some parts of data are finished, a new model predicting method of residential for sale projects investment estimate based on typical projects sample data can be draw. After testing by actual examples, a conclusion can be draw that this new method is simple, direct, reasonable and easy to spread out. Its accurate error is lower than the permissible error regulated by the government in feasibility research phrase. Because of the penetrability of its process and normality and objectivity of its results, subjectivities of organizations or individuals can be avoided effectively and different estimators can get almost the same result by using it. The new method can meet the developers's needs in the stage of investment decision-making. Because of its sample data are information on the cost of housing project, so using this approach helps to improve the transparency of prices, and it can promote a healthy development of the real estate industry.