Simple Linear Regression - Test your understanding! #1
Simple Linear Regression Quiz
Test your understanding of simple linear regression with this engaging quiz! Dive into the fundamental concepts and evaluate your knowledge on important assumptions that underlie linear models.
Whether you're a student or a seasoned statistician, this quiz covers key topics such as:
- The existence of linear regression models
- The importance of model assumptions
- Independence in regression analysis
1. When does a linear regression model exist?
When the four assumptions hold.
It always exists, its just the line of best fit on data.
When there is stat. sign. Correlation between the indep. And response.
It depends.
Why do we care about the assumptions of assumed linear model?
If they hold then that validates our choice of linear model.
If they hold we can attempt to do inference with the model.
Knowing which assumptions hold can help us understand the performance of our model, even if it’s not perfectly accurate
All of the above
None of the above
What does the assumption of independence refer to?
Independence between response (Y) and covariate (X)
Independence between response (Y) and error term (epsilon)
Independence between covariate (X) and error term (epsilon)
Independence between response (Y), covariate X, and error term (epsilon)
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