Visualize logistic regression results for your non-technical audience

Our September Meetup will be a remote gathering; the Zoom link will be posted the week of the event.

Communicating the results of a logistic regression to a non-technical audience can be challenging because the parameters are on a log-odds scale. This talk will explore several visualization options for presenting logistic regression results that are both interpretable and meaningful to your stakeholders who might not know what a log-odds or odds ratio is. This talk will also explore the pros and cons of each visualization, and in which situations one might choose one visualization over the others.

Abby Kaplan and Keiko Cawley are data scientists at Salt Lake Community College. Before joining SLCC, Abby was an adjunct professor of linguistics at the University of Utah; she received a PhD in linguistics from UC Santa Cruz in 2010. She is a big Tolkien fan and likes to imagine that the Arkenstone is the Silmaril lost with Maedhros. Keiko received a BS in mathematics from the University of Utah in 2019. She is a yoga nerd and enjoys flipping upside down, practicing arm balances, and back bending.