Table 3. Linear regression models for predicting the cooking loss of pork loin (experiment 1)
pH | CIE L* | CIE a* | CIE b* | Moisture | Protein | Intercept | Adj-r2 |
–14.01 | –0.71 | | | | –2.65 | 205.16 | 0.685 |
–11.62 | | 1.82 | –1.96 | | | 113.63 | 0.569 |
–6.32 | | | | 1.15 | –3.01 | 48.25 | 0.544 |
–10.97 | 0.13 | 2.07 | –2.26 | | | 105.76 | 0.567 |
–14.52 | –0.73 | –0.24 | | | –2.72 | 212.12 | 0.684 |
–13.88 | –0.66 | | | 0.19 | –2.67 | 188.68 | 0.683 |
–11.75 | | 1.81 | –2.02 | –0.17 | | 127.80 | 0.566 |
–11.27 | | 1.52 | –1.96 | | –1.85 | 154.30 | 0.651 |
–9.54 | 0.41 | 2.22 | –3.28 | 0.28 | | 118.19 | 0.564 |
–13.05 | –0.38 | 0.71 | –1.10 | | –2.24 | 185.24 | 0.675 |
–14.33 | –0.71 | –0.21 | | 0.14 | –2.74 | 199.94 | 0.682 |
–14.26 | –0.59 | | –0.53 | 0.31 | –2.74 | 187.62 | 0.700 |
–11.16 | | 1.44 | –1.91 | 0.08 | –1.88 | 148.68 | 0.653 |
–13.02 | –0.38 | 0.71 | –1.09 | 0.03 | –2.25 | 182.81 | 0.672 |