From: Core strength: A new model for injury prediction and prevention
Simple Linear Regression | |||||
---|---|---|---|---|---|
Outcome = (Overall Score - 21) | |||||
Model | Variable | Coeff | P > |Z| | 95% CI | R-square |
1 | Constant | 3.78 | 0.001 | (3.57, 3.99) | Â |
 | Female | -0.74 | 0.093 | (-1.60, 0.13) | 0.007 |
2 | Constant | -0.36 | 0.427 | (-1.26, 0.54) | Â |
 | Age | 0.099 | 0.001 | (0.08, 0.12) | 0.163 |
3 | Constant | 2.938 | 0.001 | (2.64, 3.24) | Â |
 | Rank | 0.091 | 0.001 | (0.06, 0.12) | 0.053 |
4 | Constant | 2.54 | 0.001 | (2.18, 2.90) | Â |
 | Tenure | 0.08 | 0.001 | (0.06, 0.10) | 0.120 |
5 | Constant | 2.6 | 0.001 | (2.46, 2.75) | Â |
 | Any Injuries | 3.69 | 0.001 | (3.43, 3.95) | 0.638 |
6 | Constant | 3.69 | 0.001 | (3.46, 3.91) | Â |
 | # Injuries | 0.12 | 0.328 | (-0.12, 0.36) | 0.002 |
7 | Constant | 3.7 | 0.001 | (3.49, 3.92) | Â |
 | Injured & Lost Time | 0.28 | 0.368 | (-0.33, 0.89) | 0.002 |
Multiple Linear Regression | |||||
Outcome = (Overall Score - 21) | |||||
Final Model Only | |||||
Model | Variable | Coeff | P > |Z| | 95% CI | R-square Adjusted |
1 | Constant | 0.99 | 0.001 | (0.41, 1.57) | Â |
 | Age | 0.04 | 0.001 | (0.03, 0.05) |  |
 | Any Injuries | 3.44 | 0.001 | (3.18, 3.71) | 0.661 |