Std 10 oz (139)

ARLI (137)

ARLI (248)

Linear regression equation based on logarithmic values

Y = (0.008029 * X) + 4.583

Y = (0.00315 * X) + 4.603

Y = (0.003053 * X) + 4.603

R²

0.7121

0.3241

0.2990

Probability that true slope is zero

P < 0.0001

P < 0.0001

P < 0.0001

Power equation

Y = 38282 * X^0.0080

Y = 40087 * X^0.0032

Y = 40087 * X^0.0031

Standard deviation of residuals (Sy.x)

for power curve

189.1

174.6

183.4

Sy.x as % of highest & lowest observed values

0.45, 0.50

0.43, 0.44

0.45, 0.46