Homogeneity of Variance Quiz

• It ensures that the errors in prediction are consistent across different values of the independent variable (correct)
• It allows errors in prediction to vary widely across different values of the independent variable
• It has no impact on the accuracy of statistical analysis
• It makes statistical analysis more complex and difficult to interpret

• The changing size of the error in prediction across different values of the independent variable
• The size of the error in prediction being dependent on the dependent variable
• The complete absence of errors in prediction across different values of the independent variable
• The consistent size of the error in prediction across different values of the independent variable (correct)

• The assumptions underlying many statistical tests are violated (correct)
• The accuracy of predictions becomes more reliable
• The analysis becomes less prone to errors
• The impact on statistical analysis is negligible

<p>Heteroscedasticity refers to the changing error size in predictions across different values of the independent variable (C)</p> Signup and view all the answers