Std 10 oz (139)

ARLI (137)

ARLI (248)

Linear regression equation based on logarithmic values

Y = (0.2104 * X) + 2.852

Y = (0.09353 * X) + 2.751

Y = (0.09453 * X) + 2.75

R²

0.9166

0.8547

0.8262

Probability that true slope is zero

P < 0.0001

P < 0.0001

P < 0.0001

Power equation

Y = 711.2 * X^0.2104

Y = 563.6 * X^0.0935

Y = 562.3 * X^0.0945

Standard deviation of residuals (Sy.x)

for power curve

105.00

28.34

36.42

Sy.x as % of highest & lowest observed values

4.3, 14.0

3.0, 5.8

3.5, 7.4