X variable

Min

Max

Mean^{‡}

SD^{‡}

N

B^{§}

L95CL

U95CL

SE^{\\}

p**

SRR change per SD^{††}

L95CL^{‡‡}

U95CL^{‡‡}


Regression
^{†}
statistics from bestfitting model with multiple independent (X) variables

(Constant)
    
92

0.321

0.029

0.614

0.147

0.032

0.000

0.000

0.000

House needs major repairs

0.050

0.478

0.186

0.116

92

1.769

0.661

2.877

0.557

0.002

0.205

0.077

0.334

Rural

0.000

0.446

0.228

0.153

92

0.954

0.652

1.256

0.152

0.000

0.146

0.100

0.192

Occupation risk

0.805

1.446

1.111

0.146

92

0.357

0.067

0.647

0.146

0.016

0.052

0.010

0.095

Aboriginal

0.007

1.010

0.676

0.447

92

1.169

0.911

1.426

0.129

0.000

0.523

0.408

0.638

 Multivariable model statistics: R squared = 0.905, F = 208.254, p = 0.000
 * Three population groups (total, Aboriginal onreserve and Aboriginal offreserve) divided by 16 HSDAs and 2 time periods (1998–2003 and 2004–2008)

^{†}The dependent (Y) variable is standardized relative risk (SRR) of hospitalization due to injury, and regression is weighted by personyears

^{‡}Unweighted mean and standard deviation (SD) of the independent (X) variable

^{§}B = regression coefficient

^{¶}95 % confidence limit for the Relative Risk Ratio per SD

^{\\}SE = standard error of the regression coefficient
 ** p = probability that B = 0

^{††}Relative Risk Ratio per SD = exp(BxSD). One SD change in the independent variable is associated with this absolute change in the SRR of injury

^{‡‡}95 % confidence limit for the Relative Risk Ratio per SD