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Table 5 Simple linear regression analysis to predict stature from skull measurements in pooled cases (n = 150)

From: Is cranial multi-detector computed tomography imaging valuable for stature estimation in Egyptian population?

Measures

Unstandardized coefficients

P value

R2

SEE (cm)

Regression equation

B

Std. error

XCB

3.57

0.48

< 0.001*

0.269

8.12

S = 114.4 + (3.57 × XCB)

 Constant

114.4

6.73

< 0.001*

WFB

6.95

1.38

< 0.001*

0.147

8.77

S = 96.9 + (6.95 × WFB)

 Constant

96.9

13.27

< 0.001*

Fmt-fmt

4.57

1.02

< 0.001*

0.119

8.92

S = 115.2 + (4.57 × fmt-fmt)

 Constant

115.2

10.91

< 0.001*

ZYB

2.7

0.33

< 0.001*

0.308

7.9

S = 126.5 + (2.7 × ZYP)

 Constant

126.5

4.64

< 0.001*

OBH

11.18

2.22

< 0.001*

0.146

8.78

S = 121.1 + (11.18 × OBH)

 Constant

121.1

8.51

< 0.001*

OBB

11.07

2.12

< 0.001*

0.155

8.73

S = 119.6 + (11.07 × OBB)

 Constant

119.6

8.5

< 0.001*

PAC

2.8

0.83

0.001*

0.072

9.15

S = 130.7 + (2.8 × PAC)

 Constant

130.7

9.85

< 0.001*

BMS

5.84

1.2

< 0.001*

0.139

8.81

S = 104 + (5.84 × BM)

 Constant

104

12.28

< 0.001*

GOL

4.85

0.7

< 0.001*

0.247

8.24

S = 75.7 + (4.85 × GOL)

 Constant

75.7

12.67

< 0.001*

BBH

4.83

1.07

< 0.001*

0.121

8.91

S = 98 + (4.83 × BBH)

 Constant

98

14.61

< 0.001*

BNL

2.05

0.74

0.006*

0.049

9.26

S = 142.9 + (2.05 × BNL)

 Constant

142.9

7.62

< 0.001*

BPL

4.54

0.92

< 0.001*

0.142

8.8

S = 118.5 + (4.54 × BPL)

 Constant

118.5

9.2

< 0.001*

  1. R2, co-efficient determination; < 0.1 (trivial), 0.1–0.3 (small to medium), 0.3–0.5 (medium to large), > 0.5 (large to very large)
  2. SEE standard error of estimate
  3. *Significant level at P value < 0.05