Consider the following time series data. 1 2 3 Week 4 Value 20 12 16 11 19 14 Using the nalve 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? If required, round your answer to two decimal place.

MATLAB: An Introduction with Applications
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Author:Amos Gilat
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Chapter1: Starting With Matlab
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Consider the following time series data.
1 2 3
Week
4
Value
20 12
16
11
19
14
Using the nalve 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? If required, round your answer to two decimal place.
Transcribed Image Text:Consider the following time series data. 1 2 3 Week 4 Value 20 12 16 11 19 14 Using the nalve 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? If required, round your answer to two decimal place.
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