Consider the following time series data.Week13Value161416111714(a) Choose the correct time series plot.(i)2018161412108.4(b) Develop a three-week moving average for this time series. Compute MSE and a forecast for week 7.Do not round intermediate calculations. If required, round your answers to two decimal places.Week ValueForecast16141641115.671714MSE:The forecast for week 7:Time Series Value c) Use a = 0.2 to compute the exponential smoothing values for the time series. Compute MSE and a forecast for week 7.Do not round intermediate calculations. If required, round your answers to two decimal places.Week ValueForecast162.1416115.176.14MSE:The forecast for week 7:(d) Compare the three-week moving average forecast with the exponential smoothing forecast using a = 0.2. Which appears to provide thebetter forecast based on MSE?- Select your answer -Explain.Using this approach results in aMSE.Select your answer(e) Use trial and error to find a value of the exponential smoothing coefficient a that yields the minimum MSE. Do not round intermediatecalculations. Use a two-decimal digit precision for the exponential smoothing coefficient.alpha:

Given data according to weeks We have to calculate forcast by moving average method and exponential…

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

See similar textbooks

Similar questions

Consider the following time series data.
Which of the time series forecasting methods would not be used to forecast seasonal data?
Consider the following time series data. Using the naïve method (most recent value) as the forecast for the next week, compute the following measures of forecast accuracy. Mean absolute percentage error. If required, round your intermediate calculations and final answer to two decimal places._____________%
A family purchases a 2000 square foot home and plans to make extensions totalling 500 square feet. The house currently has a pool, and a real estate agent has reported that the house is in excellent condition. However, the house does not have a view, and this will not change as a result of the extensions. According to the results in column (1), what is the expected DOLLAR increase in the price of the home due to the planned extensions?
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?
Calculate the first centered moving average for this time series data
For the hawkins company, the monthly percentages of all shipments received on timeover the past 12 months are 80, 82, 84, 83, 83, 84, 85, 84, 82, 83, 84, and 83.a. construct a time series plot. What type of pattern exists in the data?b. compare the three-month moving average approach with the exponential smoothing approach for a = .2. Which provides more accurate forecasts using MSe as themeasure of forecast accuracy?
Given the number of incidents between 1 to 7 October 2021 in the table below: Date Incidents 1/10/2021 99430 2/10/2021 101786 3/10/2021 103843 4/10/2021 106318 5/10/2021 109804 6/10/2021 113381 7/10/2021 116864 Calculate the MAPE only for these 7 days and compare the forecasting accuracy of the model for this period with its fitting accuracy during the observation period.
Define the term 'time series data' and continue to discuss the components of a time series.
Look at the four plots in Figure 14.2—the US unemployment rate, thedollar-pound exchange rate, the logarithm of the index of industrial production, and the percentage change in stock prices. Which of these seriesappears to be non-stationary? Which of them appears to resemble a randomwalk?
The following ratio-to-moving averages for the seasonally adjusted series were found by the decomposition method applied on a time series representing quarterly sales for January 2018 to December 2020 period: a. Calculate the Seasonal Index for every quarter. b. If the trend is described by the trend line T^ = 1,000 + 30 t, what is the forecast for the fourth quarter of 2021?
Consider the following time series data: 1 2 3 4 5 6 7 26 15 22 14 21 25 17 PART 1.Compute MSE using the most recent value as the forecast for the next period and then calculate the forecast for month 8. PART 2.Compute MSE using the average of all the data available as the forecast for the next period. What is the forecast for month 8?

SEE MORE QUESTIONS

Recommended textbooks for you

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

Elementary Statistics: Picturing the World (7th E…

Statistics

ISBN:

9780134683416

Author:

Ron Larson, Betsy Farber

Publisher:

PEARSON

The Basic Practice of Statistics

Statistics

ISBN:

9781319042578

Author:

David S. Moore, William I. Notz, Michael A. Fligner

Publisher:

W. H. Freeman

Introduction to the Practice of Statistics

Statistics

ISBN:

9781319013387

Author:

David S. Moore, George P. McCabe, Bruce A. Craig

Publisher:

W. H. Freeman

SEE MORE TEXTBOOKS

Consider the following time series data. Week 1 2 3 4 6. Value 16 14 16 11 17 14 (a) Choose the correct time series plot. (i) 20 18 16 14 12 10 Series Value