Consider the following time series data. Week 1 2 3 5 6 Value 19 13 10 19. 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 If required, round your answer to one decimal place. 4.8 32.5 16 (b) Mean squared error If required, round your answer to one decimal place. 4 (c) Mean absolute percentage error If required, round your intermediate calculations and final answer to two decimal places. 36.43 19 (d) What is the forecast for week 77

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section: Chapter Questions
Problem 22SGR
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Consider the following time series data.
Week
1
2
Value 19 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
If required, round your answer to one decimal place.
4.8
3
36.43
4
16
19
5
(b) Mean squared error
If required, round your answer to one decimal place..
32.5
6
10 19 13
(c) Mean absolute percentage error
If required, round your intermediate calculations and final answer to two decimal places.
*
(d) What is the forecast for week 7?
Transcribed Image Text:Consider the following time series data. Week 1 2 Value 19 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 If required, round your answer to one decimal place. 4.8 3 36.43 4 16 19 5 (b) Mean squared error If required, round your answer to one decimal place.. 32.5 6 10 19 13 (c) Mean absolute percentage error If required, round your intermediate calculations and final answer to two decimal places. * (d) What is the forecast for week 7?
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