Using the Fastgro Fertilizer Company data again, develop a seasonally adjusted forecast for the demand. Use the linear trend line and the seasonal factors to compute the forecast for all of 2019. Also compute the cumulative error, MAD and MAPD. How does this method compare to the methods from Question #1?

I've listed the same data in two different formats so that you can use the table that you like best, though to compute the error measures, I would suggest using the lower table.

PLEASE USE EXCEL AND SHOW FORUMALS, THANK YOU :)

Instructions to the right. \#2. Using the Fastgro Fertilizer Company data again, develop a seasonally adjusted forecast for the demand. Use the linear trend line and the seasonal factors to compute the forecast for all of 2019. Also compute the cumulative error, MAD and MAPD. How does this method compare to the methods from Question \#1? I've listed the same data in two different formats so that you can use the table that you like best, though to compute the error measures, I would suggest using the lower table. E:MAD=MAPD= How does this method compare to the methods from Question \#1? Part d) \begin{tabular}{|r|c|} \hline \multicolumn{1}{|l|}{ Trend Line: } \\ \hline Intercept = & 120.258 \\ \hline Slope = & 1.948 \\ \hline \end{tabular} Instructions to the right. \#2. Using the Fastgro Fertilizer Company data again, develop a seasonally adjusted forecast for the demand. Use the linear trend line and the seasonal factors to compute the forecast for all of 2019. Also compute the cumulative error, MAD and MAPD. How does this method compare to the methods from Question \#1? I've listed the same data in two different formats so that you can use the table that you like best, though to compute the error measures, I would suggest using the lower table. E:MAD=MAPD= How does this method compare to the methods from Question \#1? Part d) \begin{tabular}{|r|c|} \hline \multicolumn{1}{|l|}{ Trend Line: } \\ \hline Intercept = & 120.258 \\ \hline Slope = & 1.948 \\ \hline \end{tabular}