What assumption is made about the residuals in linear regression?
Practice Questions
Q1
What assumption is made about the residuals in linear regression?
They should be normally distributed
They should be correlated with the predictors
They should have a non-constant variance
They should be positive
Questions & Step-by-Step Solutions
What assumption is made about the residuals in linear regression?
Step 1: Understand what residuals are. Residuals are the differences between the actual values and the predicted values from the linear regression model.
Step 2: Know that in linear regression, we make certain assumptions about these residuals.
Step 3: One important assumption is that the residuals should be normally distributed, which means they should follow a bell-shaped curve when plotted.
Step 4: This normal distribution of residuals helps ensure that the predictions made by the model are reliable and valid.
