e-1. Calculate the mean absolute deviation (MAD) for the forecasts made by each technique in periods 412. (Round your answers to 3 decimal places.)

I ONLY NEED the answer for e1.

4th time posting this question, and every time it is wrong. The last attempt resulted in 5.321, and the rest keep using the wrong number sets. I know I have to use exponential smoothing with trend component forecast table and the starting table given. (last person used the single expontial table... PLEASE be sure us calculate using only the period 4-12, not the whole table.

Please don't make me down vote another answer...

Your manager is trying to determine what forecasting method to use. Based on the following historical data, calculate the following forecast and specify what procedure you would utilize. a. Calculate the simple three-month moving average forecast for periods 4-12. (Round all calculations to 3 decimal places.) Answer is complete and correct. b. Calculate the weighted three-month moving average for the periods 4-12 using weights of 0.50 (for the period t1 ); 0.30 (for the period t2 ) and 0.20 (for the period t3 ). (Round all calculations to 3 decimal places.) Answer is complete and correct. c. Calculate the single exponential smoothing forecast for periods 212 using an initial forecast (F) of 61 and an of 0.30. (Round all calculations to 3 decimal places.) Answer is complete and correct. d. Calculate the exponential smoothing with trend component forecast for periods 2-12 using an initial trend forecast (T) of 1.8, an initial exponential smoothing forecast (F1 ) of 60 , an of 0.30, and a of 0.30. (Round your answers to 3 decimal places.) Answer is complete and correct. e-1. Calculate the mean absolute deviation (MAD) for the forecasts made by each technique in periods 4-12. (Round your answers to 3 decimal places.) Answer is complete but not entirely correct. e-2. Which forecasting method do you prefer? Exponential smoothing with trend forecast Three-month weighted moving average Three-month moving average Single exponential smoothing forecast