Consider the following time series data. Week 2. 4 Value 20 14 16 11 17 15 Using the naïve 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. (b) Mean squared error If required, round your answer to one decimal place. (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?

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.5: Comparing Sets Of Data
Problem 3CYU
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Consider the following time series data.
Week
2.
4
Value
20
14
16
11
17
15
Using the naïve 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.
(b) Mean squared error
If required, round your answer to one decimal place.
(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 2. 4 Value 20 14 16 11 17 15 Using the naïve 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. (b) Mean squared error If required, round your answer to one decimal place. (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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