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10 5 0 1 2 3 4 5 6 7 Month Graph (i) What type of pattern exists in the data? Horizontal pattern (b) Develop a three-month moving average for this time series. Compute MSE and a forecast for month 8. If required, round your answers to two decimal places. Do not round intermediate calculation. MSE: The forecast for month 8: 19.00 (c) Use a = 0.2 to compute the exponential smoothing values for the time series. Compute MSE and a forecast for month 8. If required, round your answers to two decimal places. Do not round intermediate calculation. MSE: The forecast for month 8: 19.12 (d) Compare the three-month moving average forecast with the exponential smoothing forecast using a = 0.2. Which appears to provide the better forecast based on MSE? 3-month moving average + (e) Use trial and error to find a value of the exponential smoothing coefficient a that results in the smallest MSE. If required, round your answer to two decimal places. = a Hide Feedback Partially Correct Consider the following time series data: Month 1 2 3 4 5 6 7 Value 23 13 21 13 19 21 17

10 5 0 1 2 3 4 5 6 7 Month Graph (i) What type of pattern exists in the data? Horizontal pattern (b) Develop a three-month moving average for this time series. Compute MSE and a forecast for month 8. If required, round your answers to two decimal places. Do not round intermediate calculation. MSE: The forecast for month 8: 19.00 (c) Use a = 0.2 to compute the exponential smoothing values for the time series. Compute MSE and a forecast for month 8. If required, round your answers to two decimal places. Do not round intermediate calculation. MSE: The forecast for month 8: 19.12 (d) Compare the three-month moving average forecast with the exponential smoothing forecast using a = 0.2. Which appears to provide the better forecast based on MSE? 3-month moving average + (e) Use trial and error to find a value of the exponential smoothing coefficient a that results in the smallest MSE. If required, round your answer to two decimal places. = a Hide Feedback Partially Correct Consider the following time series data: Month 1 2 3 4 5 6 7 Value 23 13 21 13 19 21 17

Systems Architecture
Systems Architecture
7th Edition
ISBN:9781305080195
Author:Stephen D. Burd
Publisher:Stephen D. Burd
Chapter3: Data Representation
Section: Chapter Questions
Problem 28VE
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10 5 0 1 2 3 4 5 6 7 Month Graph (i) What type of pattern exists in the data? Horizontal pattern (b) Develop a three-month moving average for this time series. Compute MSE and a forecast for month 8. If required, round your answers to two decimal places. Do not round intermediate calculation. MSE: The forecast for month 8: 19.00 (c) Use a = 0.2 to compute the exponential smoothing values for the time series. Compute MSE and a forecast for month 8. If required, round your answers to two decimal places. Do not round intermediate calculation. MSE: The forecast for month 8: 19.12 (d) Compare the three-month moving average forecast with the exponential smoothing forecast using a = 0.2. Which appears to provide the better forecast based on MSE? 3-month moving average + (e) Use trial and error to find a value of the exponential smoothing coefficient a that results in the smallest MSE. If required, round your answer to two decimal places. = a Hide Feedback Partially Correct
Transcribed Image Text:10 5 0 1 2 3 4 5 6 7 Month Graph (i) What type of pattern exists in the data? Horizontal pattern (b) Develop a three-month moving average for this time series. Compute MSE and a forecast for month 8. If required, round your answers to two decimal places. Do not round intermediate calculation. MSE: The forecast for month 8: 19.00 (c) Use a = 0.2 to compute the exponential smoothing values for the time series. Compute MSE and a forecast for month 8. If required, round your answers to two decimal places. Do not round intermediate calculation. MSE: The forecast for month 8: 19.12 (d) Compare the three-month moving average forecast with the exponential smoothing forecast using a = 0.2. Which appears to provide the better forecast based on MSE? 3-month moving average + (e) Use trial and error to find a value of the exponential smoothing coefficient a that results in the smallest MSE. If required, round your answer to two decimal places. = a Hide Feedback Partially Correct
Consider the following time series data: Month 1 2 3 4 5 6 7 Value 23 13 21 13 19 21 17
Transcribed Image Text:Consider the following time series data: Month 1 2 3 4 5 6 7 Value 23 13 21 13 19 21 17
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