Building models
In this exercise, you will build a simple linear model (lm()) and then build a linear mixed-effects model (lmer()). The purpose of the first step is to make sure the data works well with a simple model because lm() outputs are easier to debug than lmer() outputs. During the next exercise, you will compare two different methods of statistical inference on the model.
This exercise is part of the course
Hierarchical and Mixed Effects Models in R
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Build a simple linear model
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