For a certain company, the monthly percentages of all shipments received on time over the past 12 months are 80, 82, 84, 83, 84, 84, 85, 84, 82, 83, 84, and 83. (a) Construct a time series plot. 86- lie 0 1 2 3 4 5 6 7 8 9 10 11 12 13 Month O Monthly Percentage Monthly Percentage 85 84 83 82 81 80 79- 78- 77 86 85 83 82- 81 80 79 78 77 0 1 2 3 4 5 6 7 8 9 10 11 12 13 Month O Monthly Percentage Monthly Percentage 86 85 84 82 80 79 78 77- 0 1 2 3 4 5 6 7 8 9 10 11 12 13 Month 86 85- 84 80 78 77 0 1 2 3 4 5 6 7 8 9 10 11 12 13 Month What type of pattern exists in the data? 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 seasonal pattern. 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 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 horizontal pattern. (b) Compare a three-month moving average forecast with the exponential smoothing forecast for a = 0.3. Compute the MSE for the three-month moving average forecast. (Round your answer to two decimal places.) Compute the MSE for the exponential smoothing forecast for a = 0.3. (Round your answer to two decimal places.) Which provides more accurate forecasts using MSE as the measure of forecast accuracy? OA 3-month moving average provides the most accurate forecast using MSE. O An exponential smoothing forecast with a = 0.3 provides the most accurate forecast using MSE. O Both forecasts provide the same level of accuracy using MSE. Q (c) Using the more accurate forecast, what is the forecast for next month? (Round your answer to two decimal places.) Ⓡ
For a certain company, the monthly percentages of all shipments received on time over the past 12 months are 80, 82, 84, 83, 84, 84, 85, 84, 82, 83, 84, and 83. (a) Construct a time series plot. 86- lie 0 1 2 3 4 5 6 7 8 9 10 11 12 13 Month O Monthly Percentage Monthly Percentage 85 84 83 82 81 80 79- 78- 77 86 85 83 82- 81 80 79 78 77 0 1 2 3 4 5 6 7 8 9 10 11 12 13 Month O Monthly Percentage Monthly Percentage 86 85 84 82 80 79 78 77- 0 1 2 3 4 5 6 7 8 9 10 11 12 13 Month 86 85- 84 80 78 77 0 1 2 3 4 5 6 7 8 9 10 11 12 13 Month What type of pattern exists in the data? 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 seasonal pattern. 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 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 horizontal pattern. (b) Compare a three-month moving average forecast with the exponential smoothing forecast for a = 0.3. Compute the MSE for the three-month moving average forecast. (Round your answer to two decimal places.) Compute the MSE for the exponential smoothing forecast for a = 0.3. (Round your answer to two decimal places.) Which provides more accurate forecasts using MSE as the measure of forecast accuracy? OA 3-month moving average provides the most accurate forecast using MSE. O An exponential smoothing forecast with a = 0.3 provides the most accurate forecast using MSE. O Both forecasts provide the same level of accuracy using MSE. Q (c) Using the more accurate forecast, what is the forecast for next month? (Round your answer to two decimal places.) Ⓡ
Practical Management Science
6th Edition
ISBN:9781337406659
Author:WINSTON, Wayne L.
Publisher:WINSTON, Wayne L.
Chapter2: Introduction To Spreadsheet Modeling
Section: Chapter Questions
Problem 20P: Julie James is opening a lemonade stand. She believes the fixed cost per week of running the stand...
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Transcribed Image Text:For a certain company, the monthly percentages of all shipments received on time over the past 12 months are 80, 82, 84, 83,
84, 84, 85, 84, 82, 83, 84, and 83.
(a)
Construct a time series plot.
Monthly Percentage
Monthly Percentage
86
85
84
83
82
81
80
79
78
77
0 1 2 3 4 5 6 7 8 9 10 11 12 13
Month
86
85
84
81
80
79
78
77 +
0 1 2 3 4 5 6 7 8 9 10 11 12 13
Month
@
83
IM
82
81
Monthly Percentage
86
Monthly Percentage
85
84
80
79
78
77
0 1 2 3 4 5 6 7 8 9 10 11 12 13
Month
86
85
84
83
82
81
80
79
78
77
0 1 2 3 4 5 6 7 8 9 10 11 12 13
Month
What type of pattern exists in the data?
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
seasonal 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 last two points may be an indication of a shift to a new level, but overall the time series plot exhibits a
horizontal pattern.
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.
(b) Compare a three-month moving average forecast with the exponential smoothing forecast for a = 0.3.
Compute the MSE for the three-month moving average forecast. (Round your answer to two decimal places.)
Compute the MSE for the exponential smoothing forecast 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 A 3-month moving average provides the most accurate forecast using MSE.
O An exponential smoothing forecast with a = 0.3 provides the most accurate forecast using MSE.
O Both forecasts provide the same level of accuracy using MSE.
G
(c) Using the more accurate forecast, what is the forecast for next month? (Round your answer to two decimal places.)
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