4 Questions
Why is homogeneity of variance (homoscedasticity) important in statistical analysis?
It ensures that the errors in prediction are consistent across different values of the independent variable
What does homogeneity of variance (homoscedasticity) refer to?
The consistent size of the error in prediction across different values of the independent variable
What happens when homoscedasticity is violated in statistical analysis?
The assumptions underlying many statistical tests are violated
How does heteroscedasticity differ from homoscedasticity?
Heteroscedasticity refers to the changing error size in predictions across different values of the independent variable
Test your knowledge of homogeneity of variance (homoscedasticity) and its implications for prediction errors across values of independent variables.
Make Your Own Quizzes and Flashcards
Convert your notes into interactive study material.
Get started for free
