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Question 1 of 15
1. Question
What does regression analysis primarily help to determine?
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Question 2 of 15
2. Question
Which of the following is a common application of regression analysis?
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Question 3 of 15
3. Question
In simple linear regression, what does the slope (m) represent?
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Question 4 of 15
4. Question
What type of regression would be best for predicting whether an email is spam or not spam?
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Question 5 of 15
5. Question
Which of the following is an assumption of linear regression?
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Question 6 of 15
6. Question
Logistic regression outputs the probabilities concerning which event?
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Question 7 of 15
7. Question
Which regression type uses regularization to prevent overfitting?
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Question 8 of 15
8. Question
Which statement is true about polynomial regression?
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Question 9 of 15
9. Question
If a dataset contains a categorical dependent variable, which regression method is unsuitable?
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Question 10 of 15
10. Question
What does the ‘intercept’ in a linear regression model indicate?
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Question 11 of 15
11. Question
Which of the following metrics is not commonly used to evaluate a linear regression model?
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Question 12 of 15
12. Question
In the context of regression, ‘homoscedasticity’ refers to what?
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Question 13 of 15
13. Question
Which technique could help if your regression model violates the assumption of no multicollinearity?
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Question 14 of 15
14. Question
Which regression method might you choose if your dependent variable is the count of events (e.g., number of customer purchases)?
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Question 15 of 15
15. Question
What is a key difference between
statsmodels
andscikitlearn
when performing regression analysis?CorrectIncorrect