Consider the following time series data. Week 1 23 4 5 6 Value 18 13 17 12 17 13 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?

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.2: Representing Data
Problem 24PFA
Question
Consider the following time series data.
Week 1 23 4
5
6
Value 18 13 17 12 17
13
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 23 4 5 6 Value 18 13 17 12 17 13 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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