Question 1
Which of the following is a key assumption of a simple linear regression model?
Question 2
What is the formula for the fitted (predicted) value in a simple linear regression model?
Question 3
In the context of linear regression, what does $R^2$ represent?
Question 4
Which of the following best describes the purpose of regularization techniques like Ridge and Lasso regression?
Question 5
Which diagnostic plot is commonly used to check for the normality of residuals in a linear regression model?
