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</p> Signup and view all the answers