Forecasting is an integral part of almost all business enterprises. This book provides readers with the tools to analyze their data, develop forecasting models and present the results in Excel. Progressing from data collection, data presentation, to a step-by-step development of the forecasting techniques, this essential text covers techniques that include, but not limited to, time series moving average, exponential smoothing, trending, simple and multiple regression, and Box-Jenkins. Unlike other products of its kind that require either high-priced statistical software or Excel add-ins, this book does not require such software. It can be used as both a primary or supplementary text.Content:Front Matter Table of Contents1. Introduction to Forecasting2. Summarizing and Displaying Data in Excel3. Basic Time Series Analysis4. Forecasting Performance Measurements, Tracking Signals, and Randomness Tests5. Advanced Time Series Forecasting Techniques6. Simple Linear Regression Analysis in Forecasting7. Multiple Linear Regression Analysis in Forecasting8. Markovian Forecasting Models9. Diffusion Modeling and Forecasting10. Miscellaneous Forecasting MethodsIndex