Multiple logistic regression analysis to predict suitability of players as forwards or backs
| Regression coefficient | SE | Odds ratio (95% CI) | p Value | |
|---|---|---|---|---|
| *Contributed significantly (p<0.05) to the predictive model. | ||||
| SE, standard error of mean. | ||||
| Model 1 | ||||
| Age (years) | 0.2581 | 0.12 | 1.3 (1.03 to 1.63) | 0.0295* |
| Playing experience (years) | −0.1113 | 0.08 | 0.90 (0.77 to 1.05) | 0.1601 |
| Body mass (kg) | −0.1438 | 0.03 | 0.87 (0.81 to 0.92) | 0.0001* |
| 10 m (s) | −1.3802 | 8.01 | 0.25 (0.00 to 1646093.00) | 0.8631 |
| 20 m (s) | 4.7257 | 9.85 | 112.81 (0.00 to 2.7610) | 0.6315 |
| 40 m (s) | −4.3220 | 3.22 | 0.01 (0.00 to 7.26) | 0.1791 |
| Vertical jump (cm) | 0.0207 | 0.04 | 1.02 (0.95 to 1.10) | 0.5693 |
| Agility (s) | 0.2922 | 0.23 | 1.34 (0.85 to 2.12) | 0.2118 |
| V̇o2max (ml/kg /min ) | 0.0274 | 0.05 | 1.03 (0.93 to 1.14) | 0.5953 |
| Model 2 | ||||
| Age (years) × body mass (kg) | −0.0009 | 0.0003 | 0.999 (0.998 to 1.00) | 0.0019* |