Announcements
- Lab 1 Discussion is on 4/16
- In-person attendance will count for 1% of your grade
Key Dates
- Homework 1 due 4/18
- Lab 1 Discussion on 4/16
- Quiz 1 opens on 4/23
- Lab 2 due 4/25
Last class
- We learned about generalized linear models: umbrella term for a lot of regressions that have different types of outcomes
- We learned about maximum likelihood estimation
- Another way to estimate regression parameters that best fit the data
- We fit a simple logistic regression model!
- This time: how do we interpret the coefficients from our estimated model?