Consider the following time series data. Week 1 2 3 4 5 6 Value 17 13 15 12 16 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= 2.5 (b) mean squared error MSE=8.17 x × (c) mean absolute percentage error (Round your answer to two decimal places.) MAPE 17.46 × % (d) What is the forecast for week 7? 14 Type here to search 車 L W zoom ° NEW 72°F ^

College Algebra
1st Edition
ISBN:9781938168383
Author:Jay Abramson
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Chapter4: Linear Functions
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Need a, b and c please
Consider the following time series data.
Week
1
2
3
4
5
6
Value 17 13 15
12
16
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= 2.5
(b) mean squared error
MSE=8.17
x
×
(c) mean absolute percentage error (Round your answer to two decimal places.)
MAPE 17.46
× %
(d) What is the forecast for week 7?
14
Type here to search
車
L W
zoom
°
NEW
72°F
^
Transcribed Image Text:Consider the following time series data. Week 1 2 3 4 5 6 Value 17 13 15 12 16 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= 2.5 (b) mean squared error MSE=8.17 x × (c) mean absolute percentage error (Round your answer to two decimal places.) MAPE 17.46 × % (d) What is the forecast for week 7? 14 Type here to search 車 L W zoom ° NEW 72°F ^
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