2024-11-05
We have focused mainly datasets consisting of a single variable.
In data analyses challenges, it is very common to be interested in the relationship between two or more variables.
We now introduce linear models, a general framework that unifies approaches used for analyzing association between variables.
Linear models are useful for:
simple and multivariate regression,
measurement error models,
treatment effect models, and
association tests.