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The Excel file data.xlsx contains time-series values for 8 consecutive weeks. The variables are: Week: The serial number of a week. Value: The time-series value observed for a week. Prepare an Excel file with the following computations - 1. Using the naïve method compute the following: a. Forecast for the next week (week 2 - week 8) b. Mean forecast error c. Mean absolute error d. Mean squared error e. Mean percentage error f. Mean absolute percentage error 2. Using the average of all the historical data compute the following: a. Forecast for the next week (week 2 - week 8) b. Mean forecast error c. Mean absolute error d. Mean squared error e. Mean percentage error f. Mean absolute percentage error 3. Using the moving average method (k=2) compute the following: a. Forecast for the next week (week 3 - week 8) b. Mean forecast error c. Mean absolute error d. Mean squared error e. Mean percentage error f. Mean absolute percentage error 4. Using the exponential smoothing method (a=0.8) compute the following: a. Forecast for the next week (week 2 - we 8) b. Mean forecast error c. Mean absolute error d. Mean squared error e. Mean percentage error f. Mean absolute percentage error

The Excel file data.xlsx contains time-series values for 8 consecutive weeks. The variables are: Week: The serial number of a week. Value: The time-series value observed for a week. Prepare an Excel file with the following computations - 1. Using the naïve method compute the following: a. Forecast for the next week (week 2 - week 8) b. Mean forecast error c. Mean absolute error d. Mean squared error e. Mean percentage error f. Mean absolute percentage error 2. Using the average of all the historical data compute the following: a. Forecast for the next week (week 2 - week 8) b. Mean forecast error c. Mean absolute error d. Mean squared error e. Mean percentage error f. Mean absolute percentage error 3. Using the moving average method (k=2) compute the following: a. Forecast for the next week (week 3 - week 8) b. Mean forecast error c. Mean absolute error d. Mean squared error e. Mean percentage error f. Mean absolute percentage error 4. Using the exponential smoothing method (a=0.8) compute the following: a. Forecast for the next week (week 2 - we 8) b. Mean forecast error c. Mean absolute error d. Mean squared error e. Mean percentage error f. Mean absolute percentage error

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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Week 1 2 3 4 5 6 7 8 Value 18 13 16 11 17 14 17 13
Transcribed Image Text:Week 1 2 3 4 5 6 7 8 Value 18 13 16 11 17 14 17 13
The Excel file data.xlsx contains time-series values for 8 consecutive weeks. The variables are: Week: The serial number of a week. Value: The time-series value observed for a week. Prepare an Excel file with the following computations - 1. Using the naïve method compute the following: a. Forecast for the next week (week 2 - week 8) b. Mean forecast error c. Mean absolute error d. Mean squared error e. Mean percentage error f. Mean absolute percentage error 2. Using the average of all the historical data compute the following: a. Forecast for the next week (week 2-week 8) b. Mean forecast error c. Mean absolute error d. Mean squared error e. Mean percentage error f. Mean absolute percentage error 3. Using the moving average method (k-2) compute the following: a. Forecast for the next week (week 3 - week 8) b. Mean forecast error c. Mean absolute error d. Mean squared error e. Mean percentage error f. Mean absolute percentage error 4. Using the exponential smoothing method (a=0.8) compute the following: a. Forecast for the next week (week 2 - week 8) b. Mean forecast error c. Mean absolute error d. Mean squared error e. Mean percentage error f. Mean absolute percentage error
Transcribed Image Text:The Excel file data.xlsx contains time-series values for 8 consecutive weeks. The variables are: Week: The serial number of a week. Value: The time-series value observed for a week. Prepare an Excel file with the following computations - 1. Using the naïve method compute the following: a. Forecast for the next week (week 2 - week 8) b. Mean forecast error c. Mean absolute error d. Mean squared error e. Mean percentage error f. Mean absolute percentage error 2. Using the average of all the historical data compute the following: a. Forecast for the next week (week 2-week 8) b. Mean forecast error c. Mean absolute error d. Mean squared error e. Mean percentage error f. Mean absolute percentage error 3. Using the moving average method (k-2) compute the following: a. Forecast for the next week (week 3 - week 8) b. Mean forecast error c. Mean absolute error d. Mean squared error e. Mean percentage error f. Mean absolute percentage error 4. Using the exponential smoothing method (a=0.8) compute the following: a. Forecast for the next week (week 2 - week 8) b. Mean forecast error c. Mean absolute error d. Mean squared error e. Mean percentage error f. Mean absolute percentage error
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