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