A Practical Approach to Timeseries Forecasting Using Python - Trend Using Moving Average Filter

Interactive Video
•
Computers
•
9th - 10th Grade
•
Hard
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10 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the primary purpose of using a linear regression model in trend analysis?
To determine the median of a dataset
To identify seasonal patterns
To calculate the average of a dataset
To predict future values based on past data
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which library is used for implementing linear regression in the tutorial?
Scitlearn
Pandas
Matplotlib
NumPy
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the first step in setting up the plot layout for visualizing trends?
Running the linear regression model
Importing data
Setting the figure size
Calculating moving averages
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How many subplots are created for visualizing the trends, moving averages, and linear regression?
Two
Three
Four
Five
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the step size used for calculating the moving average in the tutorial?
6
8
10
12
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the purpose of reshaping the X values in the linear regression implementation?
To convert them into a matrix
To ensure they are in a series format
To calculate their mean
To sort them in ascending order
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What command is used to display the plots after they are created?
plt.render()
plt.show()
plt.display()
plt.plot()
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