Interpreting random effects involves understanding the variability they represent. For instance, in a mixed-effects model, the random intercepts may signify the baseline differences between clusters, while random slopes can show how the relationship between variables varies across clusters. This interpretation helps in identifying and quantifying sources of heterogeneity in the population.
