Abstract : This work presents an empirical simulation to estimate the extent to which weather affects consumer spending. For the spending prediction purpose, the regression technique has been applied on the historical daily data of the following meteorological parameters: temperature, snow, sun, rain and humidity. The experimental results demonstrate the effectives of the model for predicting sales trends and for applying optimal business intelligence rules.
