Although you should not expect a perfectly fitting model for any time-series data, you can consider the


Problem: Although you should not expect a perfectly fitting model for any time-series data, you can consider the first differences, second differences, and percentage differences for a given series as guides in choosing an appropriate model. For this problem, use each of the time series presented in the following table:

Year Coded Year Series I Series II Series III
2000 0 10 30 60
2001 1 15.1 33.1 67.9
2002 2 24 36.4 76.1
2003 3 36.7 39.9 84
2004 4 53.8 43.9 92.2
2005 5 74.8 48.2 100
2006 6 100 53.2 108
2007 7 129.2 58.2 115.8
2008 8 162.4 64.5 124.1
2009 9 199 70.7 132
  1. Determine the most appropriate model.
  2. Compute the forecasting equation.
  3. Forecast the value for 2010.
Price: $8.2
Solution: The downloadable solution consists of 6 pages, 220 words and 4 charts.
Deliverable: Word Document


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