Question: 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

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.
Although you should not expect a perfectly fitting model for

For this problem, use each of the time series presented in the table in the left column and stored in TSmodel1:
a. Determine the most appropriate model.
b. Compute the forecasting equation.
c. Forecast the value for 2012.

Year Series I Series II Series III 30.0 33.1 36.4 39.9 2000 10.0 2001 15.1 2002 24.0 2003 36.7 2004 53.843.9 2005 74.8 2006 100.0 2007 129.2 58.2 2008 162.4 2009 199.0 707 2010 239.3 2011 283.5 83.9 60.0 67.9 76.1 84.0 92.2 100.0 108.0 115.8 124.1 132.0 140.0 147.8 48.2 53.2 64.5 77.1

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