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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