Normalized least dependent difference: a method in solving incorrectly identified monotonic linearity relationship in linear regression

What is it about?

A comprehensive method that verifies the linearity of linear regression across various types of graphical representations, including those that exhibit a monotonic relationship. This method ensures that the assumptions of linear regression hold by systematically evaluating the consistency of linearity, regardless of the underlying data distribution or the nature of the relationship between variables. It applies rigorous analytical techniques to confirm that linear regression accurately captures the trends in different types of graphs, including but not limited to monotonic, exponential, logarithmic, and polynomial relationships, assessing their compatibility with a linear model.

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Photo by imgix on Unsplash

Photo by imgix on Unsplash