class: center, middle, inverse, title-slide # Logistic regression ## Intro to Data Science ### Shawn Santo --- ## Announcements - Final lab on Tuesday, individual - Draft of project is required before peer review on April 20 --- ## Today's agenda - Consider a model for a binary response - Introduce odds and odds ratios - Interpret the results from logistic regression models --- ## Get started with today's notes - Create your personal private repository by clicking https://classroom.github.com/a/SYIrEh_P