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Table 7 Multiple regression model

From: A statistical model that predicts the length from the left subclavian artery to the celiac axis; towards accurate intra aortic balloon sizing

 

Predictor variables

URC

SRC

p*

LSA-CA

Height

0.08

0.37

0.004

R2 = 0.71

Age

0.06

0.35

< 0.001

 

ŦGender

0.91

0.21

0.088

 

Measurement 1

0.63

0.61

< 0.001

 

Constant

-12.05

-

0.021

LSA-RENAL

Height

0.11

0.45

< 0.001

R2 = 0.70

Age

0.04

0.24

0.001

 

Measurement 1

0.48

0.43

< 0.001

 

Constant

-6.90

-

0.077

LSA-BIF

Height

0.23

0.66

< 0.001

R2 = 0.81

Age

0.05

0.19

0.017

 

Measurement 1

0.46

0.28

0.005

 

Constant

-16.99

-

< 0.001

LSA-INS

Height

0.25

0.71

< 0.001

R2 = 0.71

Measurement 5

0.23

0.23

0.029

 

Constant

-0.63

-

0.029

  1. (R2 > 0.70)
  2. URC: Unstandardized coefficient
  3. SRC: Standardized coefficient
  4. *Only the coefficients with a p < 0.10 are presented
  5. Ŧmale = 1, female = 2