An example of associative forecasting is when a concert promoter predicts attendance based on the trend of attendance of the same event in the same location in previous years.

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Associative forecasting involves using predictive models that incorporate variables or factors other than time to forecast future demand, such as weather conditions, economic indicators, or marketing efforts. Predicting attendance based on past trends of the same event is an example of time series forecasting, not associative forecasting.

An Example of Associative Forecasting Is When a Concert Promoter