Almost everyone uses linear regression for their daily analysis. But do you know that there are several assumptions to check before you will apply linear regression model to your data? If your data don’t satisfy the assumptions, what can you do? What’s R² intuitively mean? etc.

The speaker Dr. Youngeun Hub is a Neurologist & Assistant Professor in South Korea. She is now a visting scholar in Dr. Clemens Scherzer’s lab at Brigham and Women’s Hospital, working on several interesting projects. She will review the following prime article in Nature Methods and cover the topic in various aspects. So it’s highly recommend to read the article before the talk.

https://www.nature.com/articles/nmeth.3627