Descriptive statistics
Mean and standard deviation (SD) were obtained for each variable and a comparison between male and female mean values of all the anatomic variables was performed using the t-test and considering p = <0.01 significant (Table 1).
Only the maximum length of the frontal sinus (FsHt) does not show a significant difference between male and female populations (p-value=0.081).
Single regression analysis
Figure 3 shows the correlations between stature and bone length,
for the three measurements with the highest correlation coefficients: femoral length (considered as the mean of the left and right femoral diaphyseal lengths),
Ba-N,
and Ba-NB.
The best fitting lines in the above three reported cases are expressed by the following equations:
he=3.06·FEM+72.6,
he=6.57·BaN+77.7,
he=5.74·BaNB+80.5,
where FEM represents femoral length,
BaN; the Ba-N distance and BaNB; the Ba-NB distance.
The correlation coefficients are respectively: RFEM=0.71,
RBa-N=0.53,
RBaNB=0.50.
The correlations between hm and he obtained using the femoral length,
Ba-N and Ba-NB distances are shown in Figure 4.
Multiple regression analysis
In order to estimate stature from the lengths of multiple bones,
a multiple regression analysis was performed considering femoral length together with the Ba-N and Ba-NB distances.
In particular,
the multiple regression analysis was performed considering three cases: femoral length and Ba-N distance,
femoral length and Ba-NB distance,
and femoral length with both Ba-N and Ba-NB distances.
The three multiple regression equations for the stature and the equations obtained by the single linear regression are shown in Table 2.