How Does Log Transformation Affect Error and Variance?
Log transformations can stabilize variance and make the data more homoscedastic, meaning that the variance remains constant across different levels of an independent variable. This is particularly useful in statistical analysis where heteroscedastic data can complicate model fitting and hypothesis testing.
