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. Author manuscript; available in PMC: 2014 Apr 9.
Published in final edited form as: Clin Biomech (Bristol). 2013 Apr 9;28(4):402–407. doi: 10.1016/j.clinbiomech.2013.02.014

Table 1.

Linear regression of the CAH and the CAA as a function of the CAW.

CAH CAA
Specimen a b R2 a b R2
1 −0.578 19.620 0.906 −5.765 221.565 0.854
2 −0.313 10.600 0.963 −2.929 117.184 0.893
3 −0.456 16.718 0.981 −4.069 197.205 0.884
4 −0.581 20.107 0.957 −8.412 316.270 0.935
5 −0.451 15.275 0.977 −3.665 153.175 0.784
6 −0.206 8.501 0.915 −1.793 108.375 0.825
7 −0.269 11.615 0.991 −1.828 127.055 0.920
8 −0.362 12.691 0.908 −3.801 158.308 0.759
Average −0.402 14.391 0.950 −4.033 174.892 0.857
SD 0.138 4.240 0.035 2.187 69.131 0.063

Note: a and b are the coefficients of the regression equation y = ax + b, where x is for the CAW and y represents the CAH or the CAA. The R2-value is the coefficient of determination indicating the goodness of the linear fit.