Consider the following time series data. Week123 56 Value 19 11 16 10 17 12 (a) Construct a time series plot. 20 18 20 18 18 16 14 12 4- 24 6 3. 3. 4. 6. 3 Week Week Week Week What type of pattern exists in the data? The data appear to follow a horizontal pattern. The data appear to followa seasonal pattern. e The data appear to follow a cyclical pattern. The data appear to follow a trend pattern. (b) Develop the three-week moving average forecasts for this time series. (Round your answers to two decimal places.) Time Series Week Forecast Value 19 11 16 10 15.333 17 12.333 12 14.333 Compute MSE. (Round your answer to two decimal places.) MSE - 18.56 What is the forecast for week 7? 13 (c) Use a = 0.2 to compute the exponential smoothing forecasts for the time series. (Use all decimal places as given in Excel). Time Series Value Week Forecast 1 19 64 x 11 16 1.96 10 17 12

Consider the following time series data. Week123 56 Value 19 11 16 10 17 12 (a) Construct a time series plot. 20 18 20 18 18 16 14 12 4- 24 6 3. 3. 4. 6. 3 Week Week Week Week What type of pattern exists in the data? The data appear to follow a horizontal pattern. The data appear to followa seasonal pattern. e The data appear to follow a cyclical pattern. The data appear to follow a trend pattern. (b) Develop the three-week moving average forecasts for this time series. (Round your answers to two decimal places.) Time Series Week Forecast Value 19 11 16 10 15.333 17 12.333 12 14.333 Compute MSE. (Round your answer to two decimal places.) MSE - 18.56 What is the forecast for week 7? 13 (c) Use a = 0.2 to compute the exponential smoothing forecasts for the time series. (Use all decimal places as given in Excel). Time Series Value Week Forecast 1 19 64 x 11 16 1.96 10 17 12

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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