A method for predicting a wind power density using a stepwise regression analysis technique, configured in a form of a program executed by an execution processing means including a computer, comprising: a variable inputting step (S1) of inputting the wind power density, which is an output variable, and two or more input variables selected among ground roughnesses (r1 to r6), an elevation, a relative elevation difference, a terrain openness, a wide region terrain openness, aspects (a1 to a7), a slope, a relative slope, a mean elevation, a maximum elevation, a minimum elevation, a relative relief, a distance from a coast, and reinterpretation meteorology data; a stepwise regression analyzing step (S2) of receiving the output variable and the input variables input in the variable inputting step (S1) and performing a regression analysis method by a stepwise variable selection method; and a multiple regression equation estimating step (S3) of estimating a multiple regression equation having the highest Coefficient of determination(R 2 ) value using regression coefficients calculated in the stepwise regression analyzing step (S2), wherein the stepwise regression analyzing step (S2) further comprises a variable transforming step (S21) of transforming the input variables using nominal variables among the output variable and the input variables input in the variable inputting step (S1) into dummy variables, while using each of the output variable and the input variables in an original variable form or performing a variable transformation of each of the output variable and the input variables, the variable transformation being a log transformation or a square root transformation. a variable inputting step (S1) of inputting the wind power density, which is an output variable, and two or more input variables selected among ground roughnesses (r1 to r6), an elevation, a relative elevation difference, a terrain openness, a wide region terrain openness, aspects (a1 to a7), a slope, a relative slope, a mean elevation, a maximum elevation, a minimum elevation, a relative relief, a distance from a coast, and reinterpretation meteorology data; a stepwise regression analyzing step (S2) of receiving the output variable and the input variables input in the variable inputting step (S1) and performing a regression analysis method by a stepwise variable selection method; and a multiple regression equation estimating step (S3) of estimating a multiple regression equation having the highest Coefficient of determination(R 2 ) value using regression coefficients calculated in the stepwise regression analyzing step (S2), wherein the stepwise regression analyzing step (S2) further comprises a variable transforming step (S21) of transforming the input variables using nominal variables among the output variable and the input variables input in the variable inputting step (S1) into dummy variables, while using each of the output variable and the input variables in an original variable form or performing a variable transformation of each of the output variable and the input variables, the variable transformation being a log transformation or a square root transformation. <EOS>