| Std 10 oz (139) | ARLI (137) | ARLI (248) |
Linear regression equation based on logarithmic values | Y = (−0.0359 * X) + 1.359 | Y = (−0.0190 * X) + 1.588 | Y = (−0.0134 * X) + 1.58 |
R2 | 0.9418 | 0.2201 | 0.0994 |
Probability that true slope is zero | P < 0.0001 | P < 0.0001 | P < 0.0001 |
Power equation | Y =22.86 * X−0.0359 | Y = 38.73 * X−0.0190 | Y = 38.02 * X−0.0134 |
Standard deviation of residuals (Sy.x) for power curve | 0.168 | 1.250 | 1.437 |
Sy.x as % of highest & lowest observed values | 0.7, 0.9 | 3.1, 3.7 | 3.5, 4.3 |