Using the accompanying table, determine the most appropriate forecasting technique for the accompanying data about the Dow Jones Industrial Average yearly closing value and implement the model. Click here to view the table. Clickheretoviewthedata. What is the most appropriate forecasting technique? A. Simple exponential smoothing B. Holt-Winters multiplicative seasonality models without trend or multiple regression C. Holt-Winters additive seasonality models without trend or multiple regression D. Holt-Winters multiplicative seasonality models with trend E. Holt-Winters additive seasonality models with trend F. Double exponential smoothing G. Simple moving average Use the model forecast the closing value for 2017. Use =0.9,=0.3, and =0.6, as needed. F2017= (Round to two decimal places as needed.) \begin{tabular}{c|c} \hline Year & Close \\ \hline 1983 & 1258.64 \\ 1984 & 1211.57 \\ 1985 & 1546.67 \\ 1986 & 1895.95 \\ 1987 & 1938.83 \\ 1988 & 2168.57 \\ 1989 & 2753.20 \\ 1990 & 2633.66 \\ 1991 & 3168.83 \\ 1992 & 3301.11 \\ 1993 & 3754.09 \\ 1994 & 3834.44 \\ 1995 & 5117.12 \\ 1996 & 6448.27 \\ 1997 & 7908.25 \\ 1998 & 9181.43 \\ 1999 & 11497.12 \\ 2000 & 10786.85 \\ 2001 & 10021.50 \\ 2002 & 8341.63 \\ 2003 & 10453.92 \\ 2004 & 10783.01 \\ 2005 & 10717.50 \\ 2006 & 12463.15 \\ 2007 & 13264.82 \\ 2008 & 8776.39 \\ 2009 & 10428.05 \\ 2010 & 11557.50 \\ 2011 & 12217.60 \\ 2012 & 13104.10 \end{tabular}