Consider the following time series data.Month23 4 5 6 7Value24 13 20 12 19 23 15Construct a time series plot. What type of pattern exists in the data?Develop the three-week moving average forecasts for this time series. Compute MSEand a forecast for week 8.b. Use a = .2 to compute the exponential smoothing forecasts for the time series. Com-pute MSE and a forecast for week 8.Compare the three-week moving average approach with the exponential smoothing ap-proach using a = .2. Which appears to provide more accurate forecasts based on MSE?d. Use a smoothing constant of a = .4 to compute the exponential smoothing forecasts.Does a smoothing constant of .2 or .4 appear to provide more accurate forecasts basedon MSE? Explain.

Hey, since there are multiple sub-parts posted, we will answer first three sub-parts. If you want…

Answered: Consider the following time series…

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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consider the following time series data.Month 1 2 3 4 5 6 7Value 24 13 20 12 19 23 15construct a time series plot. What type of pattern exists in the data?a. develop the three-week moving average forecasts for this time series. compute MSeand a forecast for week 8.b. Use a = .2 to compute the exponential smoothing forecasts for the time series. compute MSe and a forecast for week 8.c. compare the three-week moving average approach with the exponential smoothing approach using a = .2. Which appears to provide more accurate forecasts based on MSe?d. Use a smoothing constant of a = .4 to compute the exponential smoothing forecasts.does a smoothing constant of .2 or .4 appear to provide more accurate forecasts basedon MSe? explain
Consider the following time series data. Week 1 2 3 4 5 6 Value 18 13 16 11 17 14 Construct a time series plot. What type of pattern exist in the data? Develop a three-week moving average for this time series. Compute MSE and forecast for week 7. Use a = 0.2 to compute the exponential smoothing values for the time series. Compute MSE and forecast for week 7.
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consider the following time series data.Month 1 2 3 4 5 6 7Value 24 13 20 12 19 23 15a. compute MSe using the most recent value as the forecast for the next period. Whatis the forecast for month 8?b. compute MSe using the average of all the data available as the forecast for the nextperiod. What is the forecast for month 8?c. Which method appears to provide the better forecast?
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Consider the following time seriesweek 1 2 3 4 5 6 value 18 13 16 11 17 14 a) Construct a time series plot? What type of pattern exists in the datab) Develop the three week moving average forecasts for this time series, then compute the measures of forecasts accurecy
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Consider the following time series data Month 1 2 3 4 5 6 7 8 9 10 11 12 Value 90 89 86 91 90 91 88 86 91 93 90 88 a) Construct a time series plot in Excel. Label the axes and graph. b) Develop a five month moving average forecast. Compute MSE and a forecast for month 13. c) Develop a smoothing model forecast with α = 0.35. Compute MSE and forecast for month 13 d) Which model is the better predictor? Why?

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