Session Ready
Exercise

Interpreting the school model

Previously, you build a model to predict student's gains in math knowledge. Now, you will extract and examine the coefficients from the model.

These coefficient estimates include uncertainty and 95% confidence interval (CI) captures this uncertainty. If a parameter's 95% confidence interval does not include zero, then parameter is likely statistically different from zero. The DataCamp course, Foundations of Inference, covers models interpretation in greater detail.

Instructions 1/3
undefined XP
  • 1
  • 2
  • 3
  • The lmer model, lmer_classroom, you built in the previous exercise is loaded.
  • Using the tidy() function to extract the model's coefficients including confidence intervals by setting conf.int to be TRUE.
  • Save the Tidy outputs as lmer_coef and print this object.
Loading