$1.$ Using the exponential smoothing method, compare the Roses

forecast with the adjusted forecast and explain the difference. The

smoothing factor is $0\mathrm{.}2$ and the initial forecast for $2015$ was $18$ million

kg$.$

$2.$ Conclude with what you would do to increase sales of Roses so as

not to let the product diminish due to the launch of Tuplips

$3.$ Calculate the forecast error through calculating the MAD, MSE and MAPE.

Also calculate the tracking signal as of the end of $2021.$ Judge the

performance of your forecasting method.

$\backslash$table$[[$Potential sales,Roses,Tulips$],[2016,21,0],[2017($actual$),24,0],[2018,22,0],[2019,20,0],[2020,17,($assuming availability$)],[2021,13,16]]$