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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