$3$a$)$ What advantage as a forecasting tool does exponential smoothing have over moving average?

$3$b$)$ A dry cleaner uses exponential smoothing to forecast equipment usage at its main plant. January usage was forecast to be $90\%$ and actual usage was $95\%$ of capacity. A smoothing constant of $0\mathrm{.}1$ is in use.

i$)$ Prepare a forecast for February.

ii$)$ Assuming actual February usage was $97\%,$ prepare a forecast for March usage.

$3$c$)$ A manufacturing engineer records the number of toasters ordered during the last five weeks as follows:

$\backslash$table$[[$WEEK$,1,2,3,4,5,6],[$REQUESTS$,40,44,36,42,44,?$