Using the exponential smoothing method, compare 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$.$

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