大型小売店における売上予測(第5報)

Abstract

A Sales forecasting plays important roles for making a management plan and proceeding to research development and product planing. There are various forecasts such as technical forecast, economic forecast, sales forecast and product forecast. Succeeding to previous report, the present study discusses further sales forecast of department stores in Aichi Prefecture by means of a multiple regression analysis. In the previous report, such dependent variables were used as disposable income, sales floor area and time. The present study added a dummy variable to the dependent variables for the improvement of autocorreration of residual. As the result of the analysis, the auto correlation of residual are improved very much in which the forecast error rates are 7.86% max. and 0.42% min.