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For a certain company, the monthly percentages of all shipments received on time over the past 12 months are 80, 82, 85, 83, 82, 84, 85, 84, 82, 83, 84, and 83. (a) Construct a time series plot. 86 86 85- 84 84 84 83 82 82- 81 80- 79 79 78 アフ 0 1 2 3 4 567 8 9 10 11 12 13 77 77 77 0 1 23 4 56 7 8 9 10 11 12 13 01 2 3 4 567 8 9 10 11 12 13 01 2 3 4 5 6 7 89 10 11 12 13 Month Month Month Month What type of pattern exists in the data? O The last two points may be an indication of a shift to a new level, but overall the time series plot exhibits a horizontal pattern. O The first two points may be an indication of a shift to a new level, but overall the time series plot exhibits a horizontal pattern. O Overall, the time series plot exhibits a consistent trend pattern. • The first two points may be an indication of a shift to a new level, but overall the time series plot exhibits a cyclical pattern. O The first two points may be an indication of a shift to a new level, but overall the time series plot exhibits a seasonal pattern.

For a certain company, the monthly percentages of all shipments received on time over the past 12 months are 80, 82, 85, 83, 82, 84, 85, 84, 82, 83, 84, and 83. (a) Construct a time series plot. 86 86 85- 84 84 84 83 82 82- 81 80- 79 79 78 アフ 0 1 2 3 4 567 8 9 10 11 12 13 77 77 77 0 1 23 4 56 7 8 9 10 11 12 13 01 2 3 4 567 8 9 10 11 12 13 01 2 3 4 5 6 7 89 10 11 12 13 Month Month Month Month What type of pattern exists in the data? O The last two points may be an indication of a shift to a new level, but overall the time series plot exhibits a horizontal pattern. O The first two points may be an indication of a shift to a new level, but overall the time series plot exhibits a horizontal pattern. O Overall, the time series plot exhibits a consistent trend pattern. • The first two points may be an indication of a shift to a new level, but overall the time series plot exhibits a cyclical pattern. O The first two points may be an indication of a shift to a new level, but overall the time series plot exhibits a seasonal pattern.

MATLAB: An Introduction with Applications
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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For a certain company, the monthly percentages of all shipments received on time over the past 12 months are 80, 82, 85, 83, 82, 84, 85, 84, 82, 83, 84, and 83. (a) Construct a time series plot. 86 86- 86 86 85 85 85 85 84 84 84 84 83 83 83 83 82 82 82 81 81 81 81 80 80- 79 80- 80- 79 79 79- 78 78- 78 78- 77 0 1 2 3 4 56 7 8 9 10 11 12 13 77 77 + 77 0 1 2 3 4 5 67 8 9 10 11 12 13 01234 56 7 8 9 10 11 12 13 0 1 2 3 4 5 6 7 8 9 10 11 12 13 Month Month Month Month What type of pattem exists in the data? O The last two points may be an indication of a shift to a new level, but overall the time series plot exhibits a horizontal pattern. O The first two points may be an indication of a shift to a new level, but overall the time series plot exhibits a horizontal pattern. O Overall, the time series plot exhibits a consistent trend pattern. O The first two points may be an indication of a shift to a new level, but overall the time series plot exhibits a cyclical pattern. O The first two points may be an indication of a shift to a new level, but overall the time series plot exhibits a seasonal pattern. (b) Compare the three-month moving average approach with the exponential smoothing approach for a - 0.3. Compute the MSE for the three-month moving approach. (Round your answer to two decimal places.) Compute the MSE for the exponential smoothing approach for a - 0.3. (Round your answer to two decimal places.) Which provides more accurate forecasts using MSE as the measure of forecast accuracy? O An exponential smoothing approach with a = 0.3 provides the most accurate forecast using MSE. O A 3-month moving average provides the most accurate forecast using MSE. Both approaches provide the same level of accuracy using MSE. (c) Using the more accurate approach, what is the forecast for next month? (Round your answer to two decimal places.)
Transcribed Image Text:For a certain company, the monthly percentages of all shipments received on time over the past 12 months are 80, 82, 85, 83, 82, 84, 85, 84, 82, 83, 84, and 83. (a) Construct a time series plot. 86 86- 86 86 85 85 85 85 84 84 84 84 83 83 83 83 82 82 82 81 81 81 81 80 80- 79 80- 80- 79 79 79- 78 78- 78 78- 77 0 1 2 3 4 56 7 8 9 10 11 12 13 77 77 + 77 0 1 2 3 4 5 67 8 9 10 11 12 13 01234 56 7 8 9 10 11 12 13 0 1 2 3 4 5 6 7 8 9 10 11 12 13 Month Month Month Month What type of pattem exists in the data? O The last two points may be an indication of a shift to a new level, but overall the time series plot exhibits a horizontal pattern. O The first two points may be an indication of a shift to a new level, but overall the time series plot exhibits a horizontal pattern. O Overall, the time series plot exhibits a consistent trend pattern. O The first two points may be an indication of a shift to a new level, but overall the time series plot exhibits a cyclical pattern. O The first two points may be an indication of a shift to a new level, but overall the time series plot exhibits a seasonal pattern. (b) Compare the three-month moving average approach with the exponential smoothing approach for a - 0.3. Compute the MSE for the three-month moving approach. (Round your answer to two decimal places.) Compute the MSE for the exponential smoothing approach for a - 0.3. (Round your answer to two decimal places.) Which provides more accurate forecasts using MSE as the measure of forecast accuracy? O An exponential smoothing approach with a = 0.3 provides the most accurate forecast using MSE. O A 3-month moving average provides the most accurate forecast using MSE. Both approaches provide the same level of accuracy using MSE. (c) Using the more accurate approach, what is the forecast for next month? (Round your answer to two decimal places.)
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