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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