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

See similar textbooks

Similar questions

Consider the following time series data. Quarter Year 1 Year 2 Year 3 1 8. 2 5 3 4 6 7 8 9. (a) Construct a time series plot. What type of pattern exists in the data? O The time series plot shows a linear trend and no seasonal pattern in the data. O The time series plot shows a horizontal pattern, but there is also a seasonal pattern in the data. O The time series plot shows horizontal pattern and no seasonal pattern in the data. The time series plot shows linear trend and a seasonal pattern in the data. (b) Use a multiple regression model with dummy variables as follows to develop an equation to account for seasonal effects in the data. (Round your numerical values to three decimal places.) x, = 1 if quarter 1, 0 otherwise; x, = 1 if quarter 2, 0 otherwise; x, = 1 if quarter 3, 0 otherwise ŷ = (c) Compute the quarterly forecasts for the next year based on the model you developed in part (b). (Round your answers to two decimal places.) quarter 1 forecast quarter 2 forecast quarter 3…
Consider the following time series data. Month 1 2 3 4 6 7 Value 21 12 22 14 18 21 14 Round your answers to two decimal places. a. Compute MSE using the most recent value as the forecast for the next period. Mean squared error is What is the forecast for month 8? b. Compute MSE using the average of all data available as the forecast for the next period. Mean squared error is What is the forecast for month 8?
Consider the following time series data. Week 1 2 3 4 5 6 Value 18 13 15 13 15 15 (a) Choose the correct time series plot. (i) (ii) (iii) (iv) What type of pattern exists in the data? (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 Value Forecast 1 18 2 13 3 15 4 13 5 15 6 15 MSE: The forecast for week 7: (c) Use α = 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 Value Forecast 1 18 2 13 3 15 4 13 5 15 6 15 MSE: The forecast for week 7: (d) Compare the three-week moving average forecast with the…
The following is the variation in fuel prices (per gallon) in Oman for the last 7 months. Determine the trend of fuel prices by using the method of simple semi-average. January February March April Мay June July OMR 1.0 OMR 1.25 OMR 1.50 OMR 1.05 OMR 1.05 OMR 1.20 OMR 1.20 O a. 1.20 and 1.0 O b. 1.25 and 1.15 O c. 1.05 and 1.0 O d. 1.0 and 1.25
15.16 The 2008 and 2012 presidential elections. Democrat Barack Obama was elected president in 2008 and 2012. Figure 15.6 plots the percentage who voted for Obama in 2008 and 2012 for each of the 50 states and the District of Columbia. a. Describe in words the direction, form, and strength of the relationship between the percentage of votes for Obama in 2008 and the percentage in 2012. Are there any unusual features in the plot?
Consider the following time series data. Week 1 3 Value 16 14 16 11 17 14 (a) Choose the correct time series plot. (i) 20 18 16 14 12 10 8. 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 Value Forecast 16 14 16 4 11 15.67 17 14 MSE: The forecast for week 7: Time Series Value
Consider the following time series data. month 1 2 3 4 5 6 7 8 value |18|16 20 18 22 20 15 22 a. Develop the three-month moving average forecasts for this time series. Compute MSE and a forecast for month9. b. Using a=0.2 to compute the exponential smoothing forecasts for the time series. Compute MSE and a forecast for month9. c. Which method appears to provide the better forecast?
1-
A. run a simple regression- dependent variable is Weeks, independent variable is Age. B. run a multiple regression with dependent variable weeks and independent variable-age, married, head, manager and sales. C. Create the regular and standardized residual plots for both. Please show the tables when entering values of the regression for both the outputs and the scatter plots.
the data contained in the datafile named crudecost shows the U.S. refiner acquisition cost of crude oil in dollars per barrel (energy information administration website,February 3, 2014).a. construct a time series plot. What type of pattern exists in the data?
Please help with the corrected answers in details: The following time series shows the sales of a particular product over the past 12 months. Month Sales 1 105 2 135 3 120 4 105 5 90 6 120 7 145 8 140 9 100 10 80 11 100 12 110 What type of pattern exists in the data? The data appear to follow a trend pattern. The data appear to follow a horizontal pattern. The data appear to follow a cyclical pattern.The data appear to follow a seasonal pattern. (b) Use ? = 0.2 to compute the exponential smoothing values for the time series. (Round your answers to two decimal places.) Month t Time Series Value Yt Forecast Ft 1 105 2 135 3 120 4 105 5 90 6 120 7 145 8 140 9 100 10 80 11 100 12 110 (c) Use a smoothing constant of ? = 0.4 to compute the exponential smoothing forecasts. (Round your answers to two decimal places.) Month t Time Series Value Yt Forecast Ft 1 105 2 135…
Only need b and c please

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