eBook: Errors of Regression Models

Sometimes, learning about statistics can be a bit like peering into a crystal ball. You think you’ve got it, only to read one more article/paper/blog, and suddenly it’s as clear as mud again, and you’re further away from the answer than when you first started.

Choosing the correct statistic to use in any given situation can seem like a daunting task at times.

When there are numerous possible statistical calculations you can do with your data, there is not usually one correct answer – in most cases there is a spectrum of approaches, some of which are more appropriate than others.

In Errors of Regression Models you’ll learn how to choose the most appropriate statistics to measure the accuracy of your regression-based prediction model.

Why should you care what I say?

I have worked with data for most of my adult life. I have worked with data from the Visible Human Project, the Human Genome Project, a major European Soil Database, Medical Imaging Data, and loads and loads of Data from Clinical Studies Research.

I now help other scientists and business analysts just like you get the story of their data quickly and easily.

Lee Baker - CEO Chi-Squared Innovations

“My Mission Is To Unleash Your Inner Data Ninja”

Lee Baker


Discover how to measure the accuracy of your regression models quickly and effectively.

Errors of Regression Models
Chi-Squared Innovations
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