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Table 9 Correlation and regression statistics for combination of parameters and indexes of sacral morphometric against stature in validation analysis

From: Stature estimation study based on pelvic and sacral morphometric among Malaysian population

N Regression formula SEE R Value R Square Adjusted R Square Mean Abs Deviation MSE AWR (%)
279 122.360 − 0.059*I1S + 0.3773*I3S + 0.575*I5S − 0.116*I6S 7.901 0.486* 0.237* 0.225* 5.397 46.737 80.36
286 90.117 + 1.008*P1S − 5.061*P2S + 9.275*P3S + 0.718*P5S + 2.107*P6S + 4.726*P6S’ + 3.153*P7S − 0.999*P7S’ 7.138 0.615* 0.378* 0.360* 4.836 36.191 76.79
277 155.927 − 7.098*P1S − 6.073*P2S + 9.397*P3S + 
3.262*P5S + 9.258*P6S + 12.337*P6S’ + 1.586*P7S − 1.782*P7S’ + 0.213*I1S + 0.016*I3S − 1.620*I5S − 0.168*I6S
7.112 0.633* 0.401* 0.374* 4.942 37.317 76.79
  1. Unit in centimetre (cm)
  2. SEE represents the standard error of estimation for the generated regression formula; R value represents the Pearson correlation coefficient; MSE represents mean squared error; AWR represents the accuracy percentage of estimated stature within SEE range compared to actual stature
  3. *p < 0.05
  4. ’Left side of the measurement