**Time Series Data Analysis**Consider the following time series data:| Month | 1 | 2 | 3 | 4 | 5 | 6 | 7 ||-------|----|----|----|----|----|----|----|| Value | 24 | 12 | 20 | 12 | 18 | 22 | 15 |**(a) Forecast Using the Most Recent Value**- **Compute MSE**: Use the most recent value as the forecast for the next period. - *[Input Box]*- **Forecast for Month 8**: - The forecast value is **15.0**.**(b) Forecast Using the Average of All Data**- **Compute MSE**: Use the average of all the data available as the forecast for the next period. - *[Input Box]*- **Forecast for Month 8**: - *[Input Box]***(c) Best Forecasting Method**Which method appears to provide the better forecast? - *All data average* [Dropdown Selection] This provides an interactive exercise in time series analysis, focusing on Mean Squared Error (MSE) computations and forecasting accuracy using different methods.

The question is about forecatsing.Given :To find :a ) MSE and forecast for month 8 using given…

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

Identify each of the following as either a parameter or a statistic. The average annual interest rate on 15 credit cards. The percentage of all libraries in a city equipped with VR (virtual reality) technology. The number of results on the first 3 pages of your Google search matching your exact search terms. The average price of ten randomly selected wireless earbuds. SUBMIT QUESTION SAVE PROGRESS 760 (click to select) (click to select) (click to select) (click to select) SUBMIT A
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?
Consider the following data: 4 5 7 8. P(X = x) 0.2 0.2 0.1 0.1 0.4 Step 3 of 5: Find the standard devlation. Round your answer to one decimal place. Previous Step Answer(s): Answer 4 = E(x) = 6.3 How to enter your answer o? = 2.6 © 2021 Hawkes Learning
Consider the following time series data. Week 1 2 3 4 5 6 Value 19 14 17 12 18 14 Using the naive method (most recent value) as the forecast for the next week, compute the following measures of forecast accuracy. Round the intermediate calculations to two decimal places. Mean absolute error (to 1 decimal). Mean squared error (to 1 decimal). Mean absolute percentage error (to 2 decimals). % What is the forecast for week 7 (to the nearest whole number)?
calculate the geometric mean of the annual hpr and hpy
Develop a frequency distribution for the variable "Yearly Salary." Start with your Bin with 40,000 and increment it by 15,000 up to 130,000
Here is civilian unemployment cate 1982-1995 Civilian Unemployment Cate 1982-1995 year 1982 1986 1988 1990 1992 । ११५ Rode 9.7 7.0 5.4 5.5 7.4 6.1 yeRr 1984 1987 198% 1991 1993 1995 Rode 7.5 6.2 5.3 6.7 6.8 5.6 Make deta. dime plot o the
Consider the following time series data: Month 1 2 3 4 5 6 7 Value 24 12 20 11 19 24 16 (a) Compute MSE using the most recent value as the forecast for the next period. If required, round your answer to one decimal place. What is the forecast for month 8? If required, round your answer to one decimal place. Do not round intermediate calculation. (b) Compute MSE using the average of all the data available as the forecast for the next period. If required, round your answer to one decimal place. Do not round intermediate calculation. What is the forecast for month 8? If required, round your answer to one decimal place. (c) Which method appears to provide the better forecast? All Data average or Naiive
Consider the following time series data: Month 1 2 3 4 5 6 7 Value 25 13 19 11 19 23 16 (a) Compute MSE using the most recent value as the forecast for the next period. If required, round your answer to one decimal place. (b) Compute MSE using the average of all the data available as the forecast for the next period. If required, round your answer to one decimal place. Do not round intermediate calculation. What is the forecast for month 8? If required, round your answer to one decimal place.
Consider the following time series data. Month 1. 3 4 5 7 Value 20 11 19 11 19 22 15 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? c. Which method appears to provide the better forecast? - Select your answer -
Consider the following quarterly time series. Quarter 1 2 3 4 Year 1 923 Year 2 1,112 1,056 1,156 992 Year 3 1,078 1,243 1,124 1,124 1,254 1,301 1,198 a. Construct a time series plot. What type of pattern exists 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. Qtr1 = 1 if quarter 1, 0 otherwise; Qtr2 = 1 if quarter 2, 0 otherwise; Qtr3 = 1 if quarter 3, 0 otherwise. c. Compute the quarterly forecasts for next year based on the model developed in part b.
Consider the time series data in the table below (a-c all count as one problem) a. Construct a time series plot. What type of pattern exists in the data?b. Develop a three-week moving average for this time series. Compute MSEand a forecast for week 8. c. Use α = 0.2 to compute the exponential smoothing value for the time series.Compute MSE and a forecast for week 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