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 above and stored in Tsmodel1 :
a. Determine the most appropriate model.
b. Compute the forecasting equation.
c. Forecast the value for 2015.

Series I Series II 30.0 33.1 36.4 39.9 43.9 48.2 53.2 58.2 64.5 70.7 77.1 83.9 Series III 60.0 67.9 76.1 84.0 92.2 00.0 108.0 115.8 24.1 132.0 140.0 147.8 Year 10.0 15.1 24.0 36.7 53.8 74.8 100.0 129.2 162.4 199.0 239.3 283.5 2004 2007 2008 2010 2011 2012 2013 2014 2

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