The Sales2 variable in the file from the previous problem was created from the Sales1 variable by
Question:
a. Repeat parts a, b, and c from the previous problem to see how well these forecasting methods can deal with trend and seasonality.
b. Now use Winters’ method, with various values of the three smoothing constants, to forecast the series. Can you do much better? Which smoothing constants work well?
c. Use the ratio-to-moving-average method, where you first de-seasonalize the series and then forecast (by any appropriate method) the de-seasonalized series. Does this perform as well as, or better than, Winters’ method?
d. What can you conclude from your findings in parts a, b, and c about forecasting this type of series?
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Related Book For 
Data Analysis and Decision Making
ISBN: 978-0538476126
4th edition
Authors: Christian Albright, Wayne Winston, Christopher Zappe
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