Table 9.
The effect of sex and size on the chin and symphysis (males n=203, females n=216).
Dependent Variable | Independent Variables | Model Summary # | |||||
---|---|---|---|---|---|---|---|
Sex | Size (MGM) | R2 | p-Value * | ||||
R2 a | p-Value *,b | R2 a | p-Value *,b | ||||
Chin | Thickness | 0.01 | 0.034 | 0.06 | <0.001 | 0.07 | <0.001 |
CSA | 0.02 | 0.003 | 0.10 | <0.001 | 0.12 | <0.001 | |
Height | 0.02 | 0.001 | 0.14 | <0.001 | 0.16 | <0.001 | |
Width | 0.16 | <0.001 | 0.02 | 0.005 | 0.18 | <0.001 | |
Symphysis | Thickness | 0.00 | 0.879 | 0.24 | <0.001 | 0.24 | <0.001 |
Height | 0.04 | <0.001 | 0.27 | <0.001 | 0.31 | <0.001 | |
CSA | 0.00 | 0.299 | 0.33 | <0.001 | 0.33 | <0.001 |
Note: # Linear regression forward method; a R-squared (R2) change; b p-value change; * Significant p-values (p < 0.05) are denoted in bold. CSA-cross-sectional area; MGM- mandibular geometric mean.