Answer Happy

Year 2016 2017 2018 Date 2016.Q1 2016.Q2 2016.Q3 2016.Q4 2017.Q1 2017.Q2 2017 Q3 2017.Q4 2018.Q1 2018.Q2 2018.Q3 2018.Q4 2019.Q1 2019.Q2 2019.Q3 2019.04 1 2 3 4 6 5 Seasonal Quarter Demand Forecast Error 105 6 7 105 140 150 8 9 10 11 12 13 14 15 16 Quarter 2 150 170 170 150 94 121 140 31 170 105 150 150 170 110 130 94 105 110 4 121 150 130 Absolute Error #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?