초록 close

This study attempted to address certain elements that are measurable in order to forecast the growth of demand for apartments on Cheonan area.A good forecasting method needs to include both regional condition and historical trend-based data. Accordingly, this study was conducted to analyse elements of demands for apartments and develop the model of forecasting demands for apartments by using them.The model of forcasting demands for apartments was based on an regression analysis of the trend of population, local taxes for each person, the number of households and the number of manufacturers that were a type of time series data and categorized into main factors explained for correlation matrix.It was structured the p-p plot and scatterplot by analysing standardized residual and forcasted demands of apartments by entering the factors into the model. The main conclusions drawn from the analysis of elements related with demands for apartment on Cheonan area are that the expectation of apartment supplies can be estimated from the model of forecasting demands for apartments.