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- W2562019541 abstract "Forecasting is an integral business activity that is covered to varying degrees in most marketing textbooks. Texts generally present the material from a theoretical perspective, but many students need to experience the material from an active learning. To bridge this pedagogical gap this article provides a step-by-step tutorial for teaching forecasting using Excel based regression analysis to forecast seasonal demand. Three seasonal regression models are presented and interpreted including a quarterly model, a bi-monthly model, and a monthly model. The results of the models are compared and each model's efficacy discussed. This assignment has been well received by students." @default.
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- W2562019541 date "2008-10-01" @default.
- W2562019541 modified "2023-10-18" @default.
- W2562019541 title "Longitudinal Regression Forecasting Using Excel" @default.
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- W2562019541 doi "https://doi.org/10.1080/10528008.2008.11489050" @default.
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