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Table 5 Results for weight model

From: Albatross analytics a hands-on into practice: statistical and data science application

Estimates from the mean model

 

Estimate

Std. error

t-value

p-value

Intercept

− 5.85700

0.77059

− 7.60063

0.00000

Dose

4.74202

0.94058

5.04161

0.00000

Dose2

− 0.88501

0.23378

− 3.78563

0.00015

 

Estimate

Std. error

\(log\,(\lambda )\)

0.61297

0.33902

Likelihood

− 2ML

− 2RL

cAIC

Scaled deviance

df

719.47338

724.13384

689.55801

606.88179

986.66086