The simple average forecast for Year $4$ Month $1$ is

The moving average forecast of order $3$ for Year $4$ Month $1$ is

The exponential smoothing forecas. using alpha $=0\mathrm{.}8$ for Year $4$ Month $1$ is

The exponential smoothing forecast using alpha $=0\mathrm{.}2$ for Year $4$ Month $1$ is

The cumulative forecast error for the simple average forecasting method is

The Sum of Squared Errors for the moving average forecasting method is

Exponential smoothing forecast with a higher value of alpha is more accurate than one with a smaller alpha in this case $($T$/$F$)$

Using mean forecast error as the forecasting metric, naive forecasting is the best method in this case $($T$/$F$)$

Using Sum of Squared Errors as the forecasting metric, exponential smoothing forecasting is the best method in this case $($T$/$F$)$

Using forecasting metrics that cancel out positive and negative errors, naive forecasting is the best method in this case $($T$/$F$)$

Using forecasting metrics that do not cancel out positive and negative errors, exponential smoothing forecasting is the best method in this case $($T$/$F$)$