The Ins and Outs of Using Dynamic Regression Models for Forecasting

Do you want to build causal factors‒such as prices, promotions and economic indicators‒into your forecasts but have shied away from using dynamic regression models, perhaps fearing that building them is a complex and difficult process?

This educational session will help set aside those concerns by demystifying regression models and demonstrating how these models can provide insight into your data‒often while yielding more accurate results than alternative forecasting methods. As Eric Stellwagen, CEO, and Sarah Darin, Senior Consultant at Business Forecast Systems, Inc. take you through the ins and outs of regression forecasting you will learn:

• When to apply regression models
• How to build and diagnose the models
• How to use leading indicators, lagged variables, Cochrane-Orcutt terms and “dummy” variables.
• Best practices for regression modeling

Eric and Sarah will demonstrate how to build regression models with real world data, including an example using Forecast Pro’s new Optimized Dynamics functionality which streamlines the process.
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Видео The Ins and Outs of Using Dynamic Regression Models for Forecasting канала Forecast Pro