Table 3.

Regression analyses of the residual index and scaled mass index of body condition versus body components measured from chemical carcass analysis

Dependent variable	N	Residual index of body condition (Ri)			Scaled mass index of body condition (Mi)
		r2	P-value	Regression equation	r2	P-value	Regression equation
Lean mass (both sexes)	40	0.058	0.135	y = 3.620x + 3.698	0.710	<0.001	Y = 0.903x + 0.157
Female	19	0.283	0.019	y = 2.149x + 2.088	0.067	0.284	Y = 0.451x + 1.085
Male	21	0.284	0.013	y = 5.180x + 5.166	0.072	0.239	Y = 0.463x + 2.645
Fat mass (both sexes)	41	0.135	0.018	y = 0.388x + 0.228	0.430	<0.001	Y = 0.049x + 0.036
Female	20	0.371	0.004	y = 0.288x + 0.149	0.178	0.064	Y = 0.086x − 0.044
Male	21	0.198	0.043	y = 0.453x + 0.303	0.108	0.146	Y = 0.059x − 0.019
Water mass (both sexes)	41	0.071	0.092	y = 2.995x + 2.789	0.715	<0.001	Y = 0.677x + 0.156
Female	20	0.282	0.016	y = 1.557x + 1.609	0.076	0.241	Y = 0.348x + 0.829
Male	21	0.286	0.013	y = 3.938x + 3.912	0.075	0.231	Y = 0.356x + 1.972

Regression equations use body condition indices as the independent variable (x), and each body component as a dependent variable (y).