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(b) Develop the three-week moving average for this time series. (Round your answers to two decimal places.) Time Series Week Forecast Value 1 19 2 13 3 15 4 10 14.33 5 18 11.33 6 14 13.33 Compute MSE. (Round your answer to two decimal places.) MSE = 17.56 What is the forecast for week 7? 13 (c) Use a = 0.2 to compute the exponential smoothing values for the time series. Time Series Value Forecast Week 1 19 13 18 15 10 5 18 6 14 Compute MSE. (Round your answer to two decimal places.) MSE = What is the forecast for week 7? (Round your answer to two decimal places.) (d) Compare the three-week moving average forecast with the exponential smoothing forecast using a = 0.2. Which appears to provide the better forecast based on MSE? Explain. O The exponential smoothing using a = 0.2 provides a better forecast since it has a larger MSE than the three-week moving average approach. O The exponential smoothing using a = 0.2 provides a better forecast since it has a smaller MSE than the three-week moving average approach. O The three-week moving average provides a better forecast since it has a smaller MSE than the smoothing approach using a = 0.2. O The three-week moving average provides a better forecast since it has a larger MSE than the smoothing approach using a = 0.2. (e) Use trial and error to find a value of the exponential smoothing coefficient a that results in a smaller MSE than what you calculated for a = 0.2. a =

(b) Develop the three-week moving average for this time series. (Round your answers to two decimal places.) Time Series Week Forecast Value 1 19 2 13 3 15 4 10 14.33 5 18 11.33 6 14 13.33 Compute MSE. (Round your answer to two decimal places.) MSE = 17.56 What is the forecast for week 7? 13 (c) Use a = 0.2 to compute the exponential smoothing values for the time series. Time Series Value Forecast Week 1 19 13 18 15 10 5 18 6 14 Compute MSE. (Round your answer to two decimal places.) MSE = What is the forecast for week 7? (Round your answer to two decimal places.) (d) Compare the three-week moving average forecast with the exponential smoothing forecast using a = 0.2. Which appears to provide the better forecast based on MSE? Explain. O The exponential smoothing using a = 0.2 provides a better forecast since it has a larger MSE than the three-week moving average approach. O The exponential smoothing using a = 0.2 provides a better forecast since it has a smaller MSE than the three-week moving average approach. O The three-week moving average provides a better forecast since it has a smaller MSE than the smoothing approach using a = 0.2. O The three-week moving average provides a better forecast since it has a larger MSE than the smoothing approach using a = 0.2. (e) Use trial and error to find a value of the exponential smoothing coefficient a that results in a smaller MSE than what you calculated for a = 0.2. a =

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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I need only part e I have provided the values 

 

 

 

Values are

The forecast for week 7 is :14

MSE = 60.6667/3 

        = 20.22

 

The forecast for the  week 7 I:  15.78

MSE = 106.1146/6

        =17.6858

 

 

(b) Develop the three-week moving average for this time series. (Round your answers to two decimal places.) Time Series Value Week Forecast 1 19 2 13 3 15 4 10 14.33 5 18 11.33 14 13.33 Compute MSE. (Round your answer to two decimal places.) MSE = 17.58 1x What is the forecast for week 7? 13 (c) Use a = 0.2 to compute the exponential smoothing values for the time series. Week Time Series Value Forecast 1 19 2 13 18 3 15 4 10 18 6 14 Compute MSE. (Round your answer to two decimal places.) MSE = What is the forecast for week 7? (Round your answer to two decimal places.) (d) Compare the three-week moving average forecast with the exponential smoothing forecast using a = 0.2. Which appears to provide the better forecast based on MSE? Explain. O The exponential smoothing using a = 0.2 provides a better forecast since it has a larger MSE than the three-week moving average approach. O The exponential smoothing using a = 0.2 provides a better forecast since it has a smaller MSE than the three-week moving average approach. O The three-week moving average provides a better forecast since it has a smaller MSE than the smoothing approach using a = 0.2. O The three-week moving average provides a better forecast since it has a larger MSE than the smoothing approach using a = 0.2. (e) Use trial and error to find a value of the exponential smoothing coefficient a that results in a smaller MSE than what you calculated for a = 0.2.
Transcribed Image Text:(b) Develop the three-week moving average for this time series. (Round your answers to two decimal places.) Time Series Value Week Forecast 1 19 2 13 3 15 4 10 14.33 5 18 11.33 14 13.33 Compute MSE. (Round your answer to two decimal places.) MSE = 17.58 1x What is the forecast for week 7? 13 (c) Use a = 0.2 to compute the exponential smoothing values for the time series. Week Time Series Value Forecast 1 19 2 13 18 3 15 4 10 18 6 14 Compute MSE. (Round your answer to two decimal places.) MSE = What is the forecast for week 7? (Round your answer to two decimal places.) (d) Compare the three-week moving average forecast with the exponential smoothing forecast using a = 0.2. Which appears to provide the better forecast based on MSE? Explain. O The exponential smoothing using a = 0.2 provides a better forecast since it has a larger MSE than the three-week moving average approach. O The exponential smoothing using a = 0.2 provides a better forecast since it has a smaller MSE than the three-week moving average approach. O The three-week moving average provides a better forecast since it has a smaller MSE than the smoothing approach using a = 0.2. O The three-week moving average provides a better forecast since it has a larger MSE than the smoothing approach using a = 0.2. (e) Use trial and error to find a value of the exponential smoothing coefficient a that results in a smaller MSE than what you calculated for a = 0.2.
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