Table 4.
Results of a multi-variate regression model.
| Fighting Experience | Fighting Success | Size | Pillai test | |
|---|---|---|---|---|
| Model 1 | ||||
| fo | − 0.10 (.903) | 0.05 (.429) | − 0.13 (.017) | 0.02 (.019) |
| fo-SD | − 0.04 (.577) | − 0.04 (.604) | 0.04 (.536) | 0.01 (.819) |
| Pf | − 0.20 (.005) | 0.02 (.829) | − 0.32 (< .001) | 0.06 (< .001) |
| R2 | 0.04 | 0.01 | 0.08 | |
| Model 2 | ||||
| fo | − 0.11 (.022) | 0.03 (.539) | − 0.12 (.018) | 0.02 (.008) |
| Pf | − 0.15 (.016) | − 0.01 (.954) | − 0.31 (< .001) | 0.07 (< .001) |
| R2 | 0.03 | 0.01 | 0.08 | |
| Model 3 | ||||
| fo | − 0.14 (.003) | 0.03 (.536) | − 0.17 (< .001) | 0.05 (< .001) |
| R2 | 0.02 | 0.01 | 0.03 | |
| Model 4 | ||||
| Pf | − 0.19 (.002) | 0.01 (.927) | − 0.35 (< .001) | 0.09 (< .001) |
| R2 | 0.02 | 0.01 | 0.07 | |
Results are reported as effect size (p-value). Effect sizes are beta-weights, except for Pillai’s trace test statistics. fo = fundamental frequency; fo-SD = Variability in fundamental frequency; Pf = formant position.