A Practical Approach to Timeseries Forecasting Using Python - Stationarity in Time Series

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Information Technology (IT), Architecture
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Hard
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7 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the main purpose of the Augmented Dickey Fuller test in time series analysis?
To measure the correlation between variables
To determine the presence of a unit root
To calculate the mean of the series
To predict future values
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What does a p-value greater than 0.05 indicate in the context of the ADF test?
The series is stationary
The series is non-stationary
The series has a unit root
The test is inconclusive
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Where is the ADF test located in the Python library?
numpy.linalg
scipy.stats
statsmodels.tsa.stattools
pandas.stats
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the first step in implementing the ADF test on a dataset?
Visualize the data
Import the necessary tools
Normalize the data
Calculate the mean
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which of the following is NOT a part of the ADF test result array?
ADF statistic
Correlation coefficient
P-value
Critical values
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What condition must be met for a time series to be considered stationary according to the ADF test?
Critical value is greater than 0.1
ADF statistic is positive
P-value is less than 0.05
ADF statistic equals zero
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the next step if a time series is found to be non-stationary?
Change the hypothesis
Increase the sample size
Transform the data to make it stationary
Ignore the results
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