Fit a multilevel model to predict course evaluations from beauty and other predictors in the beauty dataset (see Exercises 3.5, 4.8, and 12.6) allowing the intercept and coefficient for beauty to vary by course category:
(a) Write the model in statistical notation.
(b) Fit the model using lmer() and discuss the results: the coefficient estimates and the estimated standard deviation and correlation parameters. Identify each of the estimated parameters with the notation in your model from (a).
(c) Display the estimated model graphically in plots that also include the data.
Already registered? Login
Not Account? Sign up
Enter your email address to reset your password
Back to Login? Click here