The following table shows the square errors, (Y - Y). for forecasts from 2005 through 2009. Fill the table by calculating the root mean square error (RMSE) for each of the methods. Square Error Moving Average Exponential Smoothing (5-year) (3-year) (W = 0.9) (W = 0.3) Year 2005 9,025 3,249 784 7,569 2006 6,400 2,209 529 6,561 2007 4,225 1,369 289 5,184 2008 2,500 729 144 3,600 2009 1,225 289 36 2,209 RMSE

The following table shows the square errors, (Y - Y). for forecasts from 2005 through 2009. Fill the table by calculating the root mean square error (RMSE) for each of the methods. Square Error Moving Average Exponential Smoothing (5-year) (3-year) (W = 0.9) (W = 0.3) Year 2005 9,025 3,249 784 7,569 2006 6,400 2,209 529 6,561 2007 4,225 1,369 289 5,184 2008 2,500 729 144 3,600 2009 1,225 289 36 2,209 RMSE

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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