homoskedastisuutta
Homoskedasticity is a statistical property of a series of data points, indicating that the variance of the data is constant across all levels of the independent variable. In other words, it means that the spread of the data remains the same throughout the range of the predictor variable. This property is crucial in various statistical analyses, particularly in regression analysis, as it ensures the reliability and validity of the results.
When homoskedasticity is present, the residuals (the differences between the observed and predicted values) are randomly
There are several ways to test for homoskedasticity. One common method is the Breusch-Pagan test, which compares
If homoskedasticity is violated, several remedies can be applied. One common technique is to transform the
In summary, homoskedasticity is a key assumption in many statistical analyses, ensuring that the variance of