About the Book Managerial decision-making in approach, this book explores the basic statistical techniques that are useful for preparing individual business forecasts and long-range plans. Incorporates instructions on using Excel spreadsheets and the statistical package MINITAB to forecast, along with their appropriate output. Organizing Data and a Review of Statistical Concepts. Exploring Data Patterns and Choosing a Forecasting Technique. Moving Averages and Smoothing Methods. Time Series Analysis. Regression Analysis. Multiple Regression. Regression with Time Series Data. The Box-Jenkins (ARIMA) Methodology. Judgmental Forecasting and Other Forecasting Methods. Managing the Forecasting Process. For business managers interested in business forecasting techniques. Features Major Revision??????????????????This text has been thoroughly revised. Each chapter has been completely rewritten to improve the flow and clarity of topics and to update the material. Balance of theory and application??????????????????Many of the topics are developed in more depth, providing a better balance of theory and application. Modeling??????????????????Greater emphasis is placed on selecting proper Forecasting models. Software??????????????????Output from Excel and Minitab is integrated into the chapters with an emphasis on interpreting output. Optional sections at the end-of-chapters provide additional instruction in the use of Excel and Minitab. Cases and Exercises??????????????????Many new exercises and about one fourth the cases are new. There are forty-four cases included. Contents Introduction to Forecasting. A Review of Basic Statistical Concepts. Exploring Data Patterns and Choosing a Forecasting Technique. Moving Averages and Smoothing Methods. Time Series and Their Components. Simple Linear Regression. Multiple Regression Analysis. Regression with Time Series Data. The Box-Jenkins (ARIMA) Methodology. Judgmental Elements in Forecasting. Managing the Forecasting Process.