$1.$ Use the ADDITIVE DECOMPOSITION method to forecast attendance for games $14$ for $2007.$

$2.$ Add up the total attendance for each of the $5$ years. Using these annual totals, create a $2-$period MOVING AVERAGE forecast for total $2007$ attendance.

$3.$ Using the total attendance for the $5$ years, create a $2-$period WEIGHTED MOVING AVERAGE forecast for total $2007$ attendance $($set the weights to $10$ for the last period and $5$ for the prior period$).$

$4.$ Using the total attendance for the $5$ years, create an EXPONENTIAL SMOOTHING forecast for $2007$ attendance $($use alpha of $\mathrm{.}50).$

$5.$ Using the total attendance for the $5$ years, create a TIME SERIES forecast for $2007$ attendance.

$6.$ Compare and contrast each of the $5$ models you created, noting the graphs, and the MAD & MSE. Which forecast would you be most likely to accept for $2007$ total attendance? Would you believe the forecast from the Additive Decomposition model? Why or why not?

$7.$ Using the actual attendance for $2007$ as shown below, how well did each model do$?$