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영어

This inquiry underscores the method of making a composite indicator for selecting underdeveloped regions using a regression Analysis. Generally sum of weighted standard scores and principal component analysis have been used as the methodology for making a composite indicator using some appropriate variables. The underdeveloped regions selected on the basis of composite indicator scores did not coincide with the regions which is thought to be a underdevelopment by specialist of the region. We divided the total city and county of study into some subgroups in accordance with sphere of cultivation. We calculated the external criteria of composite indicator by using AHP through the survey of specialist of the sub groups. We make a new composite indicator for selecting underdeveloped regions utilizing a regression Analysis. The external criteria of composite indicator was dependent variable and subgroup dummy variable and some appropriate variables were independent variables. It contends that the multiple regression analysis is better appropriate method than sum of weighted standard scores and principal component analysis in making a composite indicator for selecting under developed regions.