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Data collected on the yearly registrations for a Six Sigma seminar at the Quality College are shown in the following table: YEAR 1 2 3 4 5 6 7 8 9 10 11 REGISTRATIONS (000) 4 6 4 5 10 8 7 9 12 14 15   Develop a 3-year moving average to forecast registrations from year 4 to year 12. Estimate demand again for years 4 to 12 with a 3-year weighted moving average in which registrations in the most recent year are given a weight of 2, and registrations in the other 2 years are each given a weight of 1. Graph the original data and the two forecasts. Which of the two forecasting methods seems better?

Data collected on the yearly registrations for a Six Sigma seminar at the Quality College are shown in the following table: YEAR 1 2 3 4 5 6 7 8 9 10 11 REGISTRATIONS (000) 4 6 4 5 10 8 7 9 12 14 15   Develop a 3-year moving average to forecast registrations from year 4 to year 12. Estimate demand again for years 4 to 12 with a 3-year weighted moving average in which registrations in the most recent year are given a weight of 2, and registrations in the other 2 years are each given a weight of 1. Graph the original data and the two forecasts. Which of the two forecasting methods seems better?

Computer Networking: A Top-Down Approach (7th Edition)
Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
Section: Chapter Questions
Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
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Data collected on the yearly registrations for a Six Sigma seminar at the Quality College are shown in the following table:

YEAR

1

2

3

4

5

6

7

8

9

10

11

REGISTRATIONS (000)

4

6

4

5

10

8

7

9

12

14

15

 

  1. Develop a 3-year moving average to forecast registrations from year 4 to year 12.
  2. Estimate demand again for years 4 to 12 with a 3-year weighted moving average in which registrations in the most recent year are given a weight of 2, and registrations in the other 2 years are each given a weight of 1.
  3. Graph the original data and the two forecasts. Which of the two forecasting methods seems better?
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