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Consider the following time series data. Week 1 3 Value 19 12 17 10 18 15 Using the naive method (most recent value) as the forecast for the next week, compute the following. (a) mean absolute error МАЕ - (ь) mean squared error MSE = (c) mean absolute percentage error (Round your answer to two decimal places.) МАРЕ 3D % (d) What is the forecast for week 7?

Consider the following time series data. Week 1 3 Value 19 12 17 10 18 15 Using the naive method (most recent value) as the forecast for the next week, compute the following. (a) mean absolute error МАЕ - (ь) mean squared error MSE = (c) mean absolute percentage error (Round your answer to two decimal places.) МАРЕ 3D % (d) What is the forecast for week 7?

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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Please answer parts a, b, c and d
Consider the following time series data. Week 3. 4 6. Value 19 17 10 18 15 Using the naive method (most recent value) as the forecast for the next week, compute the following. (a) mean absolute error МАЕ 3 (Б) mean squared error MSE = mean absolute percentage error (Round your answer to two decimal places.) МАРЕ 3 % (d) What is the forecast for week 7? 12
Transcribed Image Text:Consider the following time series data. Week 3. 4 6. Value 19 17 10 18 15 Using the naive method (most recent value) as the forecast for the next week, compute the following. (a) mean absolute error МАЕ 3 (Б) mean squared error MSE = mean absolute percentage error (Round your answer to two decimal places.) МАРЕ 3 % (d) What is the forecast for week 7? 12
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