Generalized Linear Models
In this week we’ll look at breaking the assumptions that the error distribution is normal and the relationship between E(Y) and BX is linear.
- Use the inverse link function to interpret coefficients in a GLM.
- Recognize binomial and Poisson distributed responses
- Evaluate the goodness of fit of a GLM by examining residual plots and the residual deviance.
Optional online help session 10-11, read, watch videos, homework
Post pre-proposal in discussion board by Tuesday 11:59 pm. You have until Tuesday 11:59 pm of Week 6 to post comments on other proposals and respond to comments on your own.
Before Wednesday’s class
Do Week 5 lab. Submit in Canvas, due Midnight Tuesday of Week 6.