b$)$ The forecast for the next month$($Jan$)$ using the naive methodLOADING...equals

$$

$22$ sales. $($Round your response to a whole$$ number.$)$

Part $3$

The forecast for the next period$($Jan$)$ using a$3-$month moving average approachequals

$$

$21\mathrm{.}67$ sales. $($Round your response to two decimal$$ places.$)$

Part $4$

The forecast for the next period$($Jan$)$ using a$6-$month weighted average with weights of $0\mathrm{.}10,0\mathrm{.}10,0\mathrm{.}10,0\mathrm{.}20,0\mathrm{.}20,$ and $0\mathrm{.}30,$ where the heaviest weights are applied to the most recent monthequals

$$

$20\mathrm{.}5$ sales. $($Round your response to one decimal$$ place.$)$

Part $5$

Using exponential smoothingLOADING... with alphaequals$0\mathrm{.}30$ and a September forecast of $20\mathrm{.}00,$ the forecast for the next period $($Jan$)$equals

$$

$21\mathrm{.}00$ sales. $($Round your response to two decimal$$ places.$)$

Part $6$

Using the method of trend projectionLOADING...$,$ the forecast for the next month $($Jan$)$equals

$$

enter your response here sales. $($Round your response to two decimal$$ places.$)$