Figure 3.

Relative importance of variables in Lasso-penalized model for positive affect. A lasso-penalized regression is fit predicting positive affect as a continuous variable. Relative importance is calculated with proportional marginal variance decomposition. Relative importance of model variables within each model are shown with area proportional to importance.