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Microsoft® Excel® 2010: Data Analysis and Business Modeling
book

Microsoft® Excel® 2010: Data Analysis and Business Modeling

by Wayne L. Winston
January 2011
Beginner to intermediate content levelBeginner to intermediate
720 pages
23h 29m
English
Microsoft Press
Content preview from Microsoft® Excel® 2010: Data Analysis and Business Modeling

Chapter 60. Ratio-to-Moving-Average Forecast Method

Questions answered in this chapter:

  • What is the trend of a time series?

  • How do I define seasonal indexes for a time series?

  • Is there an easy way to incorporate trend and seasonality into forecasting future product sales?

Often you need a simple, accurate method to predict future quarterly revenues of a corporation or future monthly sales of a product. The ratio-to-moving-average method provides an accurate, easy-to-use forecasting method for these situations.

In the file Ratioma.xlsx, you are given sales of a product during 20 quarters (shown later in Figure 60-1 in rows 5 through 24), and you want to predict sales during the next four quarters (quarters 21-24). This time series has both trend and ...

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Publisher Resources

ISBN: 9780735656864Purchase book