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(b) Develop the three-week moving average forecasts for this time series. (Round your answers to two decimal places.) Week Time Series Value 1 2 3 4 5 6 Week 1 2 3 4 17 5 11 6 15 Compute MSE. (Round your answer to two decimal places.) MSE = What is the forecast for week 7? 10 (c) Use a = 0.2 to compute the exponential smoothing forecasts for the time series. Time Series Value 16 13 17 11 15 10 16 Forecast 15.00 13 T x Forecast Compute MSE. (Round your answer to two decimal places.) MSE= What is the forecast for week 7? (Round your answer to two decimal places.)

(b) Develop the three-week moving average forecasts for this time series. (Round your answers to two decimal places.) Week Time Series Value 1 2 3 4 5 6 Week 1 2 3 4 17 5 11 6 15 Compute MSE. (Round your answer to two decimal places.) MSE = What is the forecast for week 7? 10 (c) Use a = 0.2 to compute the exponential smoothing forecasts for the time series. Time Series Value 16 13 17 11 15 10 16 Forecast 15.00 13 T x Forecast Compute MSE. (Round your answer to two decimal places.) MSE= What is the forecast for week 7? (Round your answer to two decimal places.)

Functions and Change: A Modeling Approach to College Algebra (MindTap Course List)
Functions and Change: A Modeling Approach to College Algebra (MindTap Course List)
6th Edition
ISBN:9781337111348
Author:Bruce Crauder, Benny Evans, Alan Noell
Publisher:Bruce Crauder, Benny Evans, Alan Noell
Chapter3: Straight Lines And Linear Functions
Section3.3: Modeling Data With Linear Functions
Problem 17SBE
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Consider the following time series data. Week 1 2 3 4 5 6 Value 17 11 15 10 16 13
Transcribed Image Text:Consider the following time series data. Week 1 2 3 4 5 6 Value 17 11 15 10 16 13
(b) Develop the three-week moving average forecasts for this time series. (Round your answers to two decimal places.) Time Series Value Week 1 2 3 4 5 6 Week 1 The data appear to follow a trend pattern. 2 3 4 5 17 6 11 15 Compute MSE. (Round your answer to two decimal places.) MSE = What is the forecast for week 7? 10 (c) Use a = 0.2 to compute the exponential smoothing forecasts for the time series. Time Series Value 16 13 17 11 15 10 16 Forecast 15.00 13 [ x Forecast Compute MSE. (Round your answer to two decimal places.) MSE = What is the forecast for week 7? (Round your answer to two decimal places.)
Transcribed Image Text:(b) Develop the three-week moving average forecasts for this time series. (Round your answers to two decimal places.) Time Series Value Week 1 2 3 4 5 6 Week 1 The data appear to follow a trend pattern. 2 3 4 5 17 6 11 15 Compute MSE. (Round your answer to two decimal places.) MSE = What is the forecast for week 7? 10 (c) Use a = 0.2 to compute the exponential smoothing forecasts for the time series. Time Series Value 16 13 17 11 15 10 16 Forecast 15.00 13 [ x Forecast Compute MSE. (Round your answer to two decimal places.) MSE = What is the forecast for week 7? (Round your answer to two decimal places.)
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