Table 6.
Dependent | Independent | Model | Model parameters |
R2 | P-value | |||
---|---|---|---|---|---|---|---|---|
b1 | b2 | b3 | Constant | |||||
BMW | LW | Linearity regression | 12.92 | 553.65 | 0.93 | <0.01 | ||
Logarithmic regression | 611.05 | −574.64 | 0.93 | <0.01 | ||||
Polynomial regression | 48.29 | −0.38 | 0.001 | 112.49 | 0.99 | <0.01 | ||
Power regression | 0.59 | 141.02 | 0.99 | <0.01 | ||||
TMW | LW | Linearity regression | 9.12 | 74.56 | 0.99 | <0.01 | ||
Logarithmic regression | 929.53 | −2,823.91 | 0.88 | <0.01 | ||||
Polynomial regression | 14.95 | −0.05 | 0.001 | −70.00 | 0.99 | <0.01 | ||
Power regression | 0.93 | 13.88 | 0.99 | <0.01 |
LW = live weight; BMW = breast muscle weight; TMW = thigh muscle weight.
R2 is fitting degree of model; b1, b2, b3 are model parameters.