Practice Python Implementation - 2.2 | Regression Analysis | Data Science Basic
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Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What is the formula for a simple linear regression?

💡 Hint: Think about the elements that make up the regression equation.

Question 2

Easy

What does R² score indicate?

💡 Hint: Consider how well the model explains variation.

Practice 4 more questions and get performance evaluation

Interactive Quizzes

Engage in quick quizzes to reinforce what you've learned and check your comprehension.

Question 1

What is the formula for simple linear regression?

💡 Hint: Recall how we expressed the relationship in the section.

Question 2

Is R² score used to assess model performance?

  • True
  • False

💡 Hint: Think about how we measure a model's effectiveness.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

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.

💡 Hint: Use pandas for data handling and sklearn for model fitting.

Question 2

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.

💡 Hint: Reflect on how non-linear relationships might need different modeling approaches.

Challenge and get performance evaluation