in Data Science by
What is a Box-Cox Transformation?

1 Answer

0 votes
by

The dependent variable for a regression analysis might not satisfy one or more assumptions of an ordinary least squares regression. The residuals could either curve as the prediction increases or follow the skewed distribution. In such scenarios, it is necessary to transform the response variable so that the data meets the required assumptions. A Box cox transformation is a statistical technique to transform non-normal dependent variables into a normal shape. If the given data is not normal then most of the statistical techniques assume normality. Applying a box cox transformation means that you can run a broader number of tests.

Related questions

0 votes
asked Aug 25, 2022 by sharadyadav1986
+1 vote
asked Jan 20, 2020 in Linear Algebra by sharadyadav1986
+1 vote
asked Jul 6, 2021 in CSS by rajeshsharma
...