This article reports the results of a survey of marketing faculty concerning the teaching of forecasting. Results show that multiple and simple regression methods are rated as the most important of the 16 methods included in the study; Box-Jenkins and autoregressive methods are rated as the least important. Importance ratings are also evaluated by grouping objective and subjective methods as well as by computer users and nonusers and by level at which forecasting is taught.
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