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

16.21 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 and stored in : Tsmodel1 Year 2000 2001 2002 2003 2004 Time series I 10.0 15.1 24.0 36.7 53.8 Time series II 30.0 33.1 36.4 39.9 43.9 Time series III 60.0 67.9 76.1 84.0 92.2 Year 2005 2006 2007 2008 2009 Time series I 74.8 100.0 129.2 162.4 199.0 Time series II 48.2 53.2 58.2 64.5 70.7 Time series III 100.0 108.0 115.8 124.1 132.0 a. Determine the most appropriate model. b. Compute the forecasting equation. c. Forecast the value for 2010

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