Historical data may, for example, have established a relationship between one variable (e.g. the level of sales achieved by a particular service outlet) and other variables(e.g. pedestrian traffic in a street). Predicting the sales level of a proposed new outlet then becomes a matter of measuring pedestrian traffic at a proposed site, feeding this information into the model and calculating the predicted sales level