Box Cox Regression Model. Let us start with something simple like a linear simple regression i e. This is the reason why in the minitab assistant a box cox transformation is suggested whenever this is possible for non normal data and why in the minitab regression or doe design of experiments dialogue boxes the box cox transformation is an option that anyone may consider if needed to transform residual data into normality.
Representation of linear model. A few days ago a former student of mine david contacted me about box cox tests in linear models. Often an appropriate transformation of y both stabilizes the variance and makes the deviations around the model more normally distributed.
It made me look more carefully at the test and i do not understand what is computed to be honest.
If your data isn t normal applying a box cox means that you are able to run a broader number of tests. It is often difficult to determine which transformation on y to use. The normal error regression model with a box cox transformation is. The box cox transformations procedure is designed to determine an optimal transformation for y while fitting a linear regression model.
