Consider the following time series data.   Week 1 2 3 4 5 6 Value 18 14 15 11 18 13   Using the naïve method (most recent value) as the forecast for the next week, compute the following measures of forecast accuracy.   Mean absolute error. If required, round your answer to one decimal place. fill in the blank 1 Mean squared error. If required, round your answer to one decimal place. fill in the blank 2 Mean absolute percentage error. If required, round your intermediate calculations and final answer to two decimal places. fill in the blank 3% What is the forecast for week 7? If required, round your answer to two decimal place. fill in the blank 4

Practical Management Science
6th Edition
ISBN:9781337406659
Author:WINSTON, Wayne L.
Publisher:WINSTON, Wayne L.
Chapter13: Regression And Forecasting Models
Section: Chapter Questions
Problem 42P: The file P13_42.xlsx contains monthly data on consumer revolving credit (in millions of dollars)...
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Problem 6-01 (Algorithmic)

Consider the following time series data.

 

Week 1 2 3 4 5 6
Value 18 14 15 11 18 13

 

Using the naïve method (most recent value) as the forecast for the next week, compute the following measures of forecast accuracy.

 

  1. Mean absolute error. If required, round your answer to one decimal place.

    fill in the blank 1

  2. Mean squared error. If required, round your answer to one decimal place.

    fill in the blank 2

  3. Mean absolute percentage error. If required, round your intermediate calculations and final answer to two decimal places.

    fill in the blank 3%

  4. What is the forecast for week 7? If required, round your answer to two decimal place.

    fill in the blank 4
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