Proportion of variance in an outcome statistically explained by a predictor or model.
R² (or r² for a single predictor) quantifies how much of the variability in the outcome is accounted for by the model, ranging from 0 to 1. A correlation of r = -0.61 corresponds to r² ≈ 0.37, meaning roughly a third of outcome variance is explained and most remains unaccounted for.
This guide was auto-drafted and is pending editorial review.