(c) Use a = 0.2 to compute the exponential smoothing forecasts for the time series. (Round your answers to two decimal places.)Time SeriesMonthForecastValue126215322414521625717Compute MSE. (Round your answer to two decimal places.)MSE =What is the forecast for month 8? (Round your answer to two decimal places.)(d) Compare the three-month moving average approach with the exponential smoothing approach using a = 0.2. Which appears to provide more accurate forecasts based on MSE?O The exponential smoothing using a = 0.2 provides a better forecast since it has a larger MSE than the three-month moving average.O The three-month moving average providesbetter forecast since it has a smaller MSE than the exponential smoothing using a = 0.2.O The three-month moving average provides a better forecast since it has a larger MSE than the exponential smoothing using a = 0.2.O The exponential smoothing using a = 0.2 provides a better forecast since it has a smaller MSE than the three-month moving average. Consider the following time series data.Month1234567Value 26 152214212517(a) Construct a time series plot.3030т30 T30252525252020202015-15151510-10-10+10-5+5-55-0-0 1 2 3 4 5 6 70 1 2 3 4 5 6 70 14 5 6 7 84 5 6 78.8.23MonthMonthMonthMonthWhat type of pattern exists in the data?O The data appear to follow a cyclical pattern.O The data appear to follow a trend pattern.O The data appear to follow a seasonal pattern.O The data appear to follow a horizontal pattern.(b) Develop the three-month moving average forecasts for this time series.Time SeriesMonthForecastValue12615221421625717Compute MSE. (Round your answer to two decimal places.)MSE =What is the forecast for month 8?

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Answered: Consider the following time series…

Math

Statistics

Consider the following time series data. Month 1 2 3 4 5 6 Value 26 15 22 14 21 25 17

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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