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The ninth edition ofBusiness Forecastingcontinues to present the basic statistical techniques that are useful for preparing individual business forecasts and long-range plans. The book is written in a simple straightforward style and makes extensive use of practical business examples. Sixty-five cases appear at the end of chapters to provide the necessary link between theoretical concepts and their real-world applications. The emphasis is on the application of techniques by management for decision making. Following are the new or improved features in this edition: Twelve new cases and thirty-two new problems have been added. Data sets have been updated. An example of how to use Minitab 15 in a forecasting situation is demonstrated at the end of most chapters. An example of how to use Excel 2003 to solve a forecasting problem is demonstrated at the end of most chapters. Table of Contents Preface Chapter 1: Introduction to Forecasting Chapter 2: A Review of Basic Statistical Concepts Chapter 3: Exploring Data Patterns and an Introduction to Forecasting Techniques Chapter 4: Moving Averages and Smoothing Methods Chapter 5: Time Series and Their Components Chapter 6: Simple Linear Regression Chapter 7: Multiple Regression Analysis Chapter 8: Regression with Time Series Data Chapter 9: The Box-Jenkins (ARIMA) Methodology Chapter 10: Judgmental Forecasting and Forecast Adjustments Chapter 11: Managing the Forecasting Process Appendix A: Data for Case 7-1 Appendix B: Tables Appendix C: Data Sets and Databases Index