Table 10. Results of Multiple Regression Analysis.
Model and predictor | B | SE | t | p |
---|---|---|---|---|
CFMT (R2 adjusted = 17.9%) | ||||
| ||||
Intercept | 59.0070 | 2.38 | 24.8 | <.001 |
Holistic Face Processing | 5.76156 | 2.17 | 2.65 | .010 |
VET Factor 1 | 2.55556 | 2.22 | 1.15 | .255 |
VET Factor 2 | 3.90197 | 2.48 | 1.57 | .121 |
Age | 5.17035 | 2.34 | 2.21 | .031 |
Sex | 1.55148 | 2.38 | 0.65 | .518 |
Holistic Face Processing × Sex | −.892232 | 2.17 | −0.41 | .683 |
VET Factor 1 × Sex | 3.74840 | 2.22 | 1.69 | .097 |
VET Factor 2 × Sex | −5.61263 | 2.48 | 2.26 | .028 |
Age × Sex | 0.943705 | 2.34 | 0.40 | .683 |