Linear regression prediction equations

R² (%)

MSE

P-value

Y = −21.57456 + 0.45963 (live body weight)

94.51

4.91

<0.0001

Y = −32.56511 + 17.97226 (Body condition score)

62.91

12.77

0.0021

Y (Optimal prediction) = −14.39766+ 0.51570 (Final weight) −3.14510 (Body condition)

93.93

4.93

<0.0001

Y = −3.47467+ 0.78685 (Carcass weight)

82.02

8.89

<0.0001

Y = 4.41111 + 8.99740 (Rib eye area)

54.58

14.13

0.0061

Y (Optimal prediction) = −8.72339 +0.68572 (Carcass weight) + 1.92714 (Rib eye area)

79.42

9.09

0.0003

Y = 8.46065 + 2.63818 (loin)

89.88

6.67

<0.0001

Y = 8.01348+ 2.49946 (Chuck)

93.58

5.31

<0.0001

Y = 5.98972 + 9.68740 (Shank)

87.51

7.41

<0.0001

Y = 24.97508 + 3.74438 (Round)

63.56

12.66

0.0019

Y = 12.79511 + 14.01875 (Brisket)

53.8

14.25

0.0066

Y = 19.12819+ 12.12183 (Flank)

52.26

14.49

0.0079

Y = 1.57425 + 7.43303 (Rib)

52.8

14.41

0.0074

Y = 37.81688+ 8.47647 (Plate)

22.55

18.45

0.1188

Y (Optimal prediction) = −6.07768 + 0.88940 (Chuck) + 1.06245 (Loin) + 1.25760 (Shank) + 0.52862 (Round) + 1.40446 (Rib)

99.64 = Adjusted R²

1.19

<0.0001