Consider the following time series. Quarter Year 1 Year 2 Year 3 1 70 67 61 2 50 42 52 3 59 61 54 4 79 82 73 (a) Construct a time series plot. What type of pattern exists in the data? Is there an indication of a seasonal pattern? The time series plot shows a horizontal pattern, but there is also a seasonal pattern in the data.The time series plot shows a horizontal pattern with no seasonal pattern present. The time series plot shows a trend pattern, but there is also a seasonal pattern in the data.The time series plot shows a trend pattern with no seasonal pattern present. (b) Use a multiple linear regression model with dummy variables as follows to develop an equation to account for seasonal effects in the data. x1 = 1 if quarter 1, 0 otherwise; x2 = 1 if quarter 2, 0 otherwise; x3 = 1 if quarter 3, 0 otherwise. ŷ = (c) Compute the quarterly forecasts for the next year. quarter 1 forecast quarter 2 forecast quarter 3 forecast quarter 4 forecast
Consider the following time series. Quarter Year 1 Year 2 Year 3 1 70 67 61 2 50 42 52 3 59 61 54 4 79 82 73 (a) Construct a time series plot. What type of pattern exists in the data? Is there an indication of a seasonal pattern? The time series plot shows a horizontal pattern, but there is also a seasonal pattern in the data.The time series plot shows a horizontal pattern with no seasonal pattern present. The time series plot shows a trend pattern, but there is also a seasonal pattern in the data.The time series plot shows a trend pattern with no seasonal pattern present. (b) Use a multiple linear regression model with dummy variables as follows to develop an equation to account for seasonal effects in the data. x1 = 1 if quarter 1, 0 otherwise; x2 = 1 if quarter 2, 0 otherwise; x3 = 1 if quarter 3, 0 otherwise. ŷ = (c) Compute the quarterly forecasts for the next year. quarter 1 forecast quarter 2 forecast quarter 3 forecast quarter 4 forecast
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
Consider the following time series.
Quarter | Year 1 | Year 2 | Year 3 |
---|---|---|---|
1 | 70 | 67 | 61 |
2 | 50 | 42 | 52 |
3 | 59 | 61 | 54 |
4 | 79 | 82 | 73 |
(a)
Construct a time series plot. What type of pattern exists in the data? Is there an indication of a seasonal pattern?
The time series plot shows a horizontal pattern, but there is also a seasonal pattern in the data.The time series plot shows a horizontal pattern with no seasonal pattern present. The time series plot shows a trend pattern, but there is also a seasonal pattern in the data.The time series plot shows a trend pattern with no seasonal pattern present.
(b)
Use a multiple linear regression model with dummy variables as follows to develop an equation to account for seasonal effects in the data.
x1 = 1 if quarter 1, 0 otherwise; x2 = 1 if quarter 2, 0 otherwise; x3 = 1 if quarter 3, 0 otherwise.
ŷ =
(c)
Compute the quarterly forecasts for the next year.
quarter 1 forecast quarter 2 forecast quarter 3 forecast quarter 4 forecast
Expert Solution
This question has been solved!
Explore an expertly crafted, step-by-step solution for a thorough understanding of key concepts.
This is a popular solution!
Trending now
This is a popular solution!
Step by step
Solved in 3 steps with 4 images
Knowledge Booster
Learn more about
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, statistics and related others by exploring similar questions and additional content below.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