Residuals in linear models - More than just what’s left over
Researchers commonly use linear models in analysing their data. How do we know that a model we use is adequate and appropriate? Residuals, the difference between what we see in our data and what a model predicts, can be used to diagnose problems with our model and lead us to improving our analysis. This talk with provide a general overview of the types of residuals in a general context, including general and generalized linear models.
The talk will be about 30 minutes long and follow by discussion.
Speaker: Nancy Briggs, Senior Statistical Consultant, UNSW Stats Central
Date: Thursday 16 July 2020