Practice - Assumptions of Linear Regression
Practice Questions
Test your understanding with targeted questions
Define the linearity assumption in linear regression.
💡 Hint: Think about how a line fits the data points.
What does the term multicollinearity refer to?
💡 Hint: Consider how this affects variable assessment in models.
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Interactive Quizzes
Quick quizzes to reinforce your learning
What is the main assumption related to the relationship between independent and dependent variables in linear regression?
💡 Hint: Recall the importance of a straight line in this context.
True or False: Normality of errors is vital solely for predictive accuracy but not for inference.
💡 Hint: Think about statistical tests.
1 more question available
Challenge Problems
Push your limits with advanced challenges
You have a dataset showing advertising spend and sales revenue but notice a non-linear trend. How would you proceed with creating a predictive model?
💡 Hint: Look for curves in your scatter plot.
Your regression model shows multicollinearity with a VIF of 15 for one of the independent variables. Discuss potential remedies.
💡 Hint: Consider how simplifying your model could enhance clarity.
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Reference links
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