Respond to each of the items using the following time series data. Period Demand 1 20 2 46 3 20 4 9 5 17 6 8 7 19 8 34 9 39 10 4 11 32 12 23 13 10 14 27 b. Compute all possible forecasts using exponential smoothing with a smoothing coefficient (α) of 0.3. (Negative amounts should be indicated by a minus sign. Round your answers to 3 decimal places.) Period Demand Exponential Smooth Error Absolute Error 1 20 2 46 3 20 4 9 5 17 6 8 7 19 8 34 9 39 10 4 11 32 12 23 13 10 14 27 15 c. Compute all possible forecasts using exponential smoothing with a smoothing coefficient (α) of 0.7. (Negative amounts should be indicated by a minus sign. Round your answers to 3 decimal places.) Respond to each of the items using the following time series data. Period Demand Exponential Smooth Error Absolute Error 1 20 2 46 3 20 4 9 5 17 6 8 7 19 8 34 9 39 10 4 11 32 12 23 13 10 14 27 15 d. Compute the MADs for each forecast model. (Round your answers to 3 decimal places.) e. Which forecast model would you choose? Why?

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Question

Respond to each of the items using the following time series data.

Period	Demand
1	20
2	46
3	20
4	9
5	17
6	8
7	19
8	34
9	39
10	4
11	32
12	23
13	10
14	27

b. Compute all possible forecasts using exponential smoothing with a smoothing coefficient (α) of 0.3. (Negative amounts should be indicated by a minus sign. Round your answers to 3 decimal places.)

Period	Demand	Exponential Smooth	Error	Absolute Error
1	20
2	46
3	20
4	9
5	17
6	8
7	19
8	34
9	39
10	4
11	32
12	23
13	10
14	27
15

c. Compute all possible forecasts using exponential smoothing with a smoothing coefficient (α) of 0.7. (Negative amounts should be indicated by a minus sign. Round your answers to 3 decimal places.)

Respond to each of the items using the following time series data.

Period	Demand	Exponential Smooth	Error	Absolute Error
1	20
2	46
3	20
4	9
5	17
6	8
7	19
8	34
9	39
10	4
11	32
12	23
13	10
14	27
15

d. Compute the MADs for each forecast model. (Round your answers to 3 decimal places.)

e. Which forecast model would you choose? Why?

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Follow-up Question

Respond to each of the items using the following time series data.

Period	Demand
1	20
2	46
3	20
4	9
5	17
6	8
7	19
8	34
9	39
10	4
11	32
12	23
13	10
14	27

Click here for the Excel Data File

b. Compute all possible forecasts using exponential smoothing with a smoothing coefficient (α) of 0.3. (Negative amounts should be indicated by a minus sign. Round your answers to 3 decimal places.)

d. Compute the MADs for each forecast model. (Round your answers to 3 decimal places.)

e. Which forecast model would you choose? Why?

Solution