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Table 6 Regression statistics of the estimate

From: Estimation of weight in adults from height: a novel option for a quick bedside technique

Variables entered/removedb
Model Variables entered Variables removed Method
 1 Heighta   Enter
Model summary
Model r r 2 Adjusted r2 Std. error of the estimate
 1 1.000c 1.000 1.000 .09078
Coefficientsd
Model Unstandardized coefficients Standardised coefficients t Sig.
B Std. error Beta
1 (Constant) − 100.089 .167   − 601.035 .000
Height 100.057 .098 1.000 1017.310 .000
  1. NB: In model summary above, r2 = + 1 at 95% confidence interval with P = 0.000 implies a positive perfect dependence of weight on height that is linear which is strongly significant
  2. aAll requested variables entered
  3. bDependent variable: estimated wt
  4. cPredictors: (constant), height
  5. dDependent variable: estimated wt