House Section Data Of The Statistical Analysis

Reform and opening since, As our economy has developed rapidly, the Real estate has developed rapidly. This article applied mathematical statistics and multivariate statistical analysis method. In 2008 house price of our key provinces and amtskomunes established the statistical analysis and the model, for the house price of various purposes make Cluster Analysis, Correlation Analysis, Regression Analysis and the Principal Component Regression Analysis, and established the model and inspection, educe district by price category, design index of the correlation of descriptiveness, and establish a regression model and the principal component regression model and so on. Between in-depth the areas of houses prices and the relationship of general average price have reference value, and the prediction of houses prices district development have a corresponding reference meaning.1,For 31 different parts district of the average selling price classify, through the classified discussion of result, to 31 various regions of the selling house price and economic condition make an analysis;2,To the average selling price and economic indicators performed an correlation analysis, And for the average selling price variables performed an correlation description;3,To different design variable is set up corresponding regression model, and between the average selling price and economic indicators perform the Stepwise Regression Analysis, establish an regression analysis model; And establish an principal component regression model of between general average prices and design the main ingredients.