Fig. 4
From: Unveiling why race does not affect the mask effect on attractiveness: but gender and expression do
Plots of the size of the mask effect as predicted by unmasked attractiveness split by gender, race or expression. The points represent the 96 masked and unmasked pairs of faces. So, the three panels show the same data but split according to either gender (top panel), race (middle panel) or expression (bottom panel). The top panel illustrates that the correlation between the mask effect and unmasked attractiveness is stronger for male faces than female faces and the middle panel show that the correlation is slightly stronger (but not significantly) for Korean faces than other races. The bottom panel shows that the mask effect is consistently larger for neutral faces than for smiling faces regardless of the base attractiveness of the faces. “Mask effect” is used as shorthand for effect that mask has on attractiveness such that a positive mask effect means that the mask makes the face more attractive whereas a negative mask effect mean a mask makes the face look less attractive