Answered: The weekly demand (in cases) for a…

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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Transcribed Image Text:DATAfile: Dishwasher The weekly demand (in cases) for a particular brand of automatic dishwasher detergent for a chain of grocery stores located in Columbus, Ohio, follows. Week Demand 1. 22 2 18 3 23 4 21 17 24 7 20 8 19 18 10 21 (a) Construct a time series plot. 30T 30 30 30 25 25 25 25 20 20 20 20 15 15 15 15 10 10 10 10 5 5- 5+ 5. + 0 1 2 5 7 8 0 1 2 5 6 7 8 9 10 0 1 2 3 4 5 7 0 1 2 5 6. 3 4 10 4 8 9. 10 4 9 10 Week Week Week Week What type of pattern exists in the data? O The time series plot indicates a cyclical pattern. O The time series plot indicates a trend pattern. O The time series plot indicates a seasonal pattern. O The time series plot indicates a horizontal pattern. Demand (in cases) Demand (in cases)

What type of pattern exists in the data?
O The time series plot indicates a cyclical pattern.
O The time series plot indicates a trend pattern.
O The time series plot indicates a seasonal pattern.
O The time series plot indicates a horizontal pattern.
(b) Use a three-week moving average to develop a forecast (in cases) for week 11. (Round your answer to two decimal places.)
F11 = 3
cases
(c) Use exponential smoothing with a smoothing constant of a = 0.7 to develop a forecast (in cases) for week 11. (Round your answer to two decimal places.)
F11 =
cases
(d) Which of the two methods do you prefer? Why?
O Exponential smoothing with a = 0.7 is preferable since it has a smaller MSE compared to the 3-week moving average.
O The 3-week moving average is preferable since it has a smaller MSE compared to exponential smoothing with a = 0.7.
O Exponential smoothing with a = 0.7 is preferable since it has a larger MSE compared to the 3-week moving average.
O The 3-week moving average is preferable since it has a larger MSE compared to exponential smoothing with a = 0.7.

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