a Create a $3-$week simple moving average forecast of the price. Compute the mean absolute deviation, the mean absolute percentage error, and the $5$

b Create an expontential smoothing forecast of the price using $0\mathrm{.}9$ as a smoothing const Compute the mean absolute deviation, the mean absolute percentage error, and the $s$

c Compare the two forecasts. Which of the two forecasting methods gives smaller error Forecast one week ahead $($first week of January $2023)$ using each of these $2$ methods.

d Create a plot with your data and your forecasts.

Which of the two forecasting methods appear to perform better based on your graphs?

Prices $-$ Average U$.$S$.$ Prices for Regular Gasoline