The following diagram illustrates depict the weekly paper towels sales (measured in 10,000s rolls) for the most recent 124 weeks. Weekly sales (10,000s of rolls) 10 15 20 T 000 مهمهمه 0 20 40 60 80 100 120 Week Paired with the results of the ADF test: Augmented Dickey-Fuller Test Dickey-Fuller = -1.6311, Lag order alternative hypothesis: stationary = 2, p-value = 0.7298 what can be concluded about this time series? (a) We fail to reject the null of the ADF test and conclude that our time series is stationary. (b) We reject the null of the ADF test and conclude that our time series is stationary. (c) We fail to reject the null of the ADF test and conclude that our time series is non-stationary. (d) We reject the null of the ADF test and conclude that our time series is non-stationary. (e) None of the given answers are correct.
The following diagram illustrates depict the weekly paper towels sales (measured in 10,000s rolls) for the most recent 124 weeks. Weekly sales (10,000s of rolls) 10 15 20 T 000 مهمهمه 0 20 40 60 80 100 120 Week Paired with the results of the ADF test: Augmented Dickey-Fuller Test Dickey-Fuller = -1.6311, Lag order alternative hypothesis: stationary = 2, p-value = 0.7298 what can be concluded about this time series? (a) We fail to reject the null of the ADF test and conclude that our time series is stationary. (b) We reject the null of the ADF test and conclude that our time series is stationary. (c) We fail to reject the null of the ADF test and conclude that our time series is non-stationary. (d) We reject the null of the ADF test and conclude that our time series is non-stationary. (e) None of the given answers are correct.
Chapter1: Making Economics Decisions
Section: Chapter Questions
Problem 1QTC
Related questions
Question
![The following diagram illustrates depict the weekly paper towels sales (measured in
10,000s rolls) for the most recent 124 weeks.
Weekly sales (10,000s of rolls)
10
15
20
T
000
مهمهمه
0
20
40
60
80
100
120
Week
Paired with the results of the ADF test:
Augmented Dickey-Fuller Test
Dickey-Fuller = -1.6311, Lag order
alternative hypothesis: stationary
=
2, p-value = 0.7298
what can be concluded about this time series?
(a) We fail to reject the null of the ADF test and conclude that our time series is
stationary.
(b) We reject the null of the ADF test and conclude that our time series is
stationary.
(c) We fail to reject the null of the ADF test and conclude that our time series is
non-stationary.
(d) We reject the null of the ADF test and conclude that our time series is
non-stationary.
(e) None of the given answers are correct.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F6035f1a2-2c03-490a-9469-88f7b64e730f%2F7731878c-4ec1-47c8-a339-8784a77391ba%2Fncs0k69_processed.png&w=3840&q=75)
Transcribed Image Text:The following diagram illustrates depict the weekly paper towels sales (measured in
10,000s rolls) for the most recent 124 weeks.
Weekly sales (10,000s of rolls)
10
15
20
T
000
مهمهمه
0
20
40
60
80
100
120
Week
Paired with the results of the ADF test:
Augmented Dickey-Fuller Test
Dickey-Fuller = -1.6311, Lag order
alternative hypothesis: stationary
=
2, p-value = 0.7298
what can be concluded about this time series?
(a) We fail to reject the null of the ADF test and conclude that our time series is
stationary.
(b) We reject the null of the ADF test and conclude that our time series is
stationary.
(c) We fail to reject the null of the ADF test and conclude that our time series is
non-stationary.
(d) We reject the null of the ADF test and conclude that our time series is
non-stationary.
(e) None of the given answers are correct.
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