LAMPIRAN

Perhitungan RegressiRegressi Schaefer

SUMMARY OUTPUT

Regression Statistics

Multiple R0.698781

R Square0.488295

Adjusted R Square0.424331

Standard Error0.043825

Observations10

ANOVA

DfSSMSFSignificance F

Regression10.0146620.0146627.6339950.024562

Residual80.0153650.001921

Total90.030027

CoefficientsStandard Errort StatP-valueLower 95%Upper 95%Lower 95,0%Upper 95,0%

Intercept0.08475170.0202024.19522140.00301610.03816590.13133760.03816590.131337583

X Variable 1-7.144E-072.586E-07-2.76296850.0245619-1.311E-06-1.182E-07-1.311E-06-1.18153E-07

MSY = - a/4b f.optmsy

2482.394X1Y1

00

f.opt = -a/2b5.92E+042482.394

59,154.292118308.5840

Regressi Fox

SUMMARY OUTPUT

Regression Statistics

Multiple R0.895754

R Square0.802375

Adjusted R Square0.777672

Standard Error0.707086

Observations10

ANOVA

dfSSMSFSignificance F

Regression116.2394516.2394532.48080.000455

Residual83.9997650.499971

Total920.23921

CoefficientsStandard Errort StatP-valueLower 95%Upper 95%Lower 95,0%Upper 95,0%

Intercept-2.701860.325945-8.289333.38E-05-3.45349-1.95023-3.45349-1.950233241

X Variable 1-2.4E-054.17E-06-5.699190.000455-3.3E-05-1.4E-05-3.3E-05-1.41554E-05

MSY = [(-1/b)*Ln(a/b)]

= 489625,7

Fopt= -1/b

= 42060,31

f.optMsy

X1Y1

00

42060.31147489615.7

84120.622940