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Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is the equation for Simple Linear Regression?
💡 Hint: Find the slope and intercept components.
Question 2
Easy
What role does the independent variable play?
💡 Hint: Think about what inputs we use.
Practice 4 more questions and get performance evaluation
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What does 'y' represent in the equation y = mx + c?
💡 Hint: Think of what you're trying to find out.
Question 2
True or False: A higher R² Score indicates a better fit of the model.
💡 Hint: Remember what a score of 1 means.
Solve 2 more questions and get performance evaluation
Push your limits with challenges.
Question 1
You have a dataset with years of experience and corresponding salaries. Describe how you would implement a Linear Regression model in Python step by step.
💡 Hint: Think of the main steps involved in the data preparation and model building process.
Question 2
Explain a scenario where you would prefer using Multiple Linear Regression instead of Simple Linear Regression.
💡 Hint: Consider situations with multiple known predictors.
Challenge and get performance evaluation