Please solve this problem:

Use the data on US and Boston rates available in attached image:$$Boston Unemployment Rate $($Column B$)$US Unemployment Rate $($Column C$.$ Develop a forecast for both unemployment rates for January $($Boston$)$ and February $($United States$)2023.$You must test at least three different forecasting methods $($no more than two iterations of a same method $($e$.$g$.$ you can do $3$ month and $6$ month Moving Average, but you must test at least one other method$).$ Pick the one you think is the best, and explain why you picked it$.$ Provide the forecast unemployment rate for March for U$.$S$.$ and January for Boston.$$ Does the forecast "make sense" to you?At the very least you should answer the following questions:$1.$ Which criteria you used to choose the forecast $($e$.$g$.$ RMSE, MAD, etc.$)?$ How did different models perform on this criteria $($i$.$e$.$ report actual numbers$)?$ What was the forecast of each model?$2.$ What is your final forecast based on the model$($s$)?3.$ Do you think it is an under$-$estimate, over$-$estimate or fairly reasonable?$$ If you think the rate would be something other than what your method produces, what is your predicted unemployment rate for each?$$ Explain your choice.

What is your final forecast $($using the model$($s$)$ and$/$or your subjective judgment$)$ to two decimal points $($e$.$g$.3\mathrm{.}11)$ for February $($Boston$)$ and March $($US$)($i$.$e$.$ one month later than your forecast above$)?$ Most accurate forecast $($not going over the actual rate in a case of a tie$)$ will receive a prize once the actual February $($Boston$)/$March $($US$)*$ unemployment if announced by the Bureau of Labor Statistics.