Create a computer vision system using decision tree algorithms to solve a real-world problem : [Activity] Linear Regress

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Information Technology (IT), Architecture, Social Studies
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University
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7 questions
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1.
OPEN ENDED QUESTION
3 mins • 1 pt
What is the purpose of generating random test data in the context of linear regression?
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2.
OPEN ENDED QUESTION
3 mins • 1 pt
How can LIDAR data from self-driving cars be utilized in relation to road conditions?
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3.
OPEN ENDED QUESTION
3 mins • 1 pt
Explain the significance of the R value in a linear regression model.
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4.
OPEN ENDED QUESTION
3 mins • 1 pt
Describe the process of creating a prediction function based on a linear regression model.
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5.
OPEN ENDED QUESTION
3 mins • 1 pt
What does the slope and intercept represent in the context of a linear regression equation?
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6.
OPEN ENDED QUESTION
3 mins • 1 pt
How does the concept of linear regression apply to real-world scenarios, particularly in self-driving cars?
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7.
OPEN ENDED QUESTION
3 mins • 1 pt
What are the implications of increasing random variation in test data on the R-squared value?
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