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Table 3 Linear Regression

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)  
  Female -0.74 0.093 (-1.60, 0.13) 0.007
2 Constant -0.36 0.427 (-1.26, 0.54)  
  Age 0.099 0.001 (0.08, 0.12) 0.163
3 Constant 2.938 0.001 (2.64, 3.24)  
  Rank 0.091 0.001 (0.06, 0.12) 0.053
4 Constant 2.54 0.001 (2.18, 2.90)  
  Tenure 0.08 0.001 (0.06, 0.10) 0.120
5 Constant 2.6 0.001 (2.46, 2.75)  
  Any Injuries 3.69 0.001 (3.43, 3.95) 0.638
6 Constant 3.69 0.001 (3.46, 3.91)  
  # Injuries 0.12 0.328 (-0.12, 0.36) 0.002
7 Constant 3.7 0.001 (3.49, 3.92)  
  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)  
  Age 0.04 0.001 (0.03, 0.05)  
  Any Injuries 3.44 0.001 (3.18, 3.71) 0.661