Practice Python Implementation (2.2) - Regression Analysis

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9 questions

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Exercise
6 questions · about 4 min · pass mark 70%. Hints available.
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3 questions · about 2 min · pass mark 70%. Hints available.
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6 sample questions

Question 1.
What is the formula for a simple linear regression?
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Think about the elements that make up the regression equation.
Question 2.
What does R² score indicate?
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Consider how well the model explains variation.
3Question 3.
What is the formula for simple linear regression?
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Recall how we expressed the relationship in the section.
4Question 4.
Is R² score used to assess model performance?
- True
- False
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Think about how we measure a model's effectiveness.
Question 5.
Given a dataset with years of experience, education level, and salary, write a complete Python script for a multiple linear regression model. Interpret your results.
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Use pandas for data handling and sklearn for model fitting.
Question 6.
If a scatter plot indicates a curve rather than a straight line pattern, what does that imply about linear regression assumptions? Suggest alternative methods you could use.
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Reflect on how non-linear relationships might need different modeling approaches.

5 more questions in this section. Enroll free to practise them all.