大型小売店における売上予測(第2報)

Abstract

A sales forecasting is very important 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 the previous report, the present study discusess further sales forecast of clothing in the department stores in Aichi Prefecture by means of a multiple regression analysis. In the previous report, such dependent valiables were used as consumer expense, sales floor area, time and consumer price index. The present study added a dummy variable to the dependent variables for the improvement of autocorrelation of residual. As the result of the analysis, the autocorrelation of the residual are improved very much in which the forecast error rates are 7.13% max. and 0.36% min.