The Factors Of House Price And Its Realization By R Language

House price over the last decade has become a hot social topic. That the houses are too expensive has been a serious social problem. The reason why house price becomes higher and higher is complex. The following reasons are considered in this paper:microeconomics, demography, policy, region and the scale of real estate development. The time scale of the data used in my paper is from the beginning of2005to the end of2013. Use k-means clustering, the31mainland provinces are departed into four groups and the house price of four groups are different.The multiple regression model indicates the most influential factors are disposable income and regional differences. Disposable income is positively correlated with house price. There are significant differences of house prices between the groups of provinces. Interest rate is a influential factor of house prices. Consumer confidence index and the house price are positive correlation, the higher the index the higher house prices. The tool of data analysis in the article is the R language, which is a kind of computer language, and skilled in data analysis.