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1. Consider the following data: Month Jan-14 Feb-14 Mar-14 Apr-14 May-14 Jun-14 Jul-14 Aug-14 Sep-14 Profit ($) 15,810 15,960 14,755 16,814 18,463 17,180 19,144 18,435

1. Consider the following data:

Month Jan-14 Feb-14 Mar-14 Apr-14 May-14 Jun-14 Jul-14 Aug-14 Sep-14
Profit ($)

15,810

15,960

14,755

16,814

18,463

17,180

19,144

18,435

20,218

Step 1 of 4: Determine the three-period moving average for the next time period. If necessary, round your answer to one decimal place.

Step 2 of 4: Determine the three-period weighted moving average for the next time period with weights of3 (most recent),2 (second latest time period), and1 (oldest time period). If necessary, round your answer to one decimal place.

Step 3 of 4:Determine the exponential smoothing forecast for the next time period using a smoothing constant of 0.50. If necessary, round your answer to one decimal place.

2. Consider the following data:

Month Jan-14 Feb-14 Mar-14 Apr-14 May-14 Jun-14 Jul-14 Aug-14 Sep-14
Profit ($)

16,416

16,566

15,355

17,420

19,063

17,240

19,138

18,501

20,290

Step 1 of 4:Determine the three-period moving average for the next time period. If necessary, round your answer to one decimal place.

Step 2 of 4: Determine the three-period weighted moving average for the next time period with weights of3 (most recent),2 (second latest time period), and1 (oldest time period). If necessary, round your answer to one decimal place.

Step 3 of 4: Determine the exponential smoothing forecast for the next time period using a smoothing constant of 0.30. If necessary, round your answer to one decimal place.

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