Data TransformationsNatural Logarithm TransformationsWhen lack of linearity is theonlycondition that is violated, transforming the x values isappropriateTransforming y values appropriate when non-normality and/or unequal variances are theproblems – transforming y can also help smoothen out a curved relationshipTransform both x and y values when everything seems wrong – the data is not linear, notnormal, and does not have equal varianceIf the primary problem with the model is non-linearity, look at a scatterplot of the data to help