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.