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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