$\backslash$table$[[,$forecast,$\backslash$table$[[$actual$],[$demand$]],$error$],[2Q,,215,],[2022,,,],[3Q,,210,],[2022,,220,],[4Q,,,],[2022,,255,],[1Q,,,],[2023,,245,],[1Q,,240,],[2023,,,],[3Q,,280,],[2023,,,],[4Q,,260,],[2023,,,],[1Q,,,],[2024,,,],[2Q,,,],[2024,,,]]$

Using the $4-$quarter moving average: What is the forecast for $3Q2023,4Q2023,1Q2024,$ and $2Q{2024}_{?}$

Compute the forecast for $3Q2023,4Q2023,1Q2024,$ and $2Q{2024}_{?}$ using exponential smoothing $($start with $302023)$ with a smoothing factor of $.6.$

Which forecast method provides a more accurate forecast?

Compute the forecast for $3Q2023,4Q2023,1Q2024,$ and $2Q{2024}_{?}$ using a weighted moving average technique. The most recent period is weighted at $\mathrm{.}45,$ second most recent at $\mathrm{.}3,$ and $3^{rd}$ most recent at $\mathrm{.}2$ and $4^{th}$ most recent at $\mathrm{.}05.$

Compare the results from $4$ to the results from $1$ and $2.$ Now which forecast provides the more accurate forecast?

If the exponential smoothing is calculated using a smoothing factor of $.8$ will the forecast error be smaller or larger?