A time-series plot often helps you determine the appropriate model to use. For this problem, use each of the time series presented in the following table and stored in TSModel2:

a. Plot the observed data Y over time X and plot the logarithm of the observed data (log Y) over time X to determine whether a linear trend model or an exponential trend model is more appropriate.

b. Compute the appropriate forecasting equations.

c. Forecast the values for 2017.

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Series I Series II Year 100.0 2005 100.0 115.2 2006 115.2 2007 130.1 131.7 150.8 2008 144.9 2009 160.0 174.1 2010 175.0 200.0 2011 189.8 230.8 2012 204.9 266.1 2013 219.8 305.5 235.0 2014 351.8 249.8 403.0 2015 264.9 469.2 2016