a$.$ Make a linear trend forecast for SASSS though the first seven months of $2017.$ Given that the actual seasonally adjusted values for $2017$ were as shown below, calculate the mape those seven months of $2017.$

$2278\mathrm{.}857+/-6\mathrm{.}43$x

b$.$ Seasonalize the $2017$ forecast and the $2017$ actual sales using the following seasonal indices.

c$.$ Plot the finale forecast along with the actual sales data. Does the forecast appear to be reasonable?

d$.$ Why do you think the April, May, August, and December seasonal indices are greater than $1?$

This may be due to changes in sales during the different months of the year.