Consider the following time series data. Week 1 2 3 4 5 6 Value 19 12 17 10 17 14 Using the naive method (most recent value) as the forecast for the next week, compute the following measures of forecast accuracy. (a) mean absolute error MAE (b) mean squared error MSE (c) mean absolute percentage error (Round your answer to two decimal places.) MAPE= % (d) What is the forecast for week 7?

A First Course in Probability (10th Edition)
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ISBN:9780134753119
Author:Sheldon Ross
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Chapter1: Combinatorial Analysis
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Consider the following time series data.
Week 1 2 3 4 5 6
Value 19 12 17
10 17 14
Using the naive method (most recent value) as the forecast for the next week, compute the following measures of forecast accuracy.
(a) mean absolute error
MAE=
(b) mean squared error
MSE=
(c) mean absolute percentage error (Round your answer to two decimal places.)
MAPE=
%
(d) What is the forecast for week 7?
Transcribed Image Text:Consider the following time series data. Week 1 2 3 4 5 6 Value 19 12 17 10 17 14 Using the naive method (most recent value) as the forecast for the next week, compute the following measures of forecast accuracy. (a) mean absolute error MAE= (b) mean squared error MSE= (c) mean absolute percentage error (Round your answer to two decimal places.) MAPE= % (d) What is the forecast for week 7?
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