Table 2. Predicting Weight from Height Using a Spline Regression Model in the Log Scale.

Model	Variable	Parameter Estimate*	95% CI	P	R2
General	Intercept	2.8286	(2.8230, 2.8334)
	Log (height/110) (height <110 cm)	1.5643	(1.5440, 1.5844)	<0.0001	0.944
	Log (height/110) (height ≥110 cm)	2.3828	(2.3499, 2.4157)	<0.0001
Adding Country-Specific Parameters†	Intercept	2.8282	(2.8220, 2.8343)
	Log (height/110) (height <110 cm)	1.5708	(1.5511, 1.5905)	<0.0001	0.947
	Log (height/110) (height ≥110 cm)	2.45935	(2.4099, 2.5088)	<0.0001
	Malakal, Sudan	−0.11683	(−0.1292, −0.1045)	<0.0001
	Daboya, Ghana	0.00548	(−0.0102, 0.0211)	0.48
	Jareng, The Gambia	−0.00690	(−0.1600, 0.0022)	0.13
	Kongwa, Tanzania	0.01438	(0.0071, 0.0217)	0.0001

^*log (weight) = α + β log (height/110).

^†Reference Rombo, Tanzania.