Linear mixed effects parameters
Fixed Effects formula Distance ~ month * delivery * diet
Metric Distance
Group column [delivery, diet]
State column month
Individual ID column studyid
Random effects None

Model summary

model summary
Model: MixedLM
No. Observations: 583
No. Groups: 42
Min. group size: 5
Max. group size: 20
Mean group size: 13.9
Dependent Variable: Distance
Method: REML
Scale: 0.0227
Log-Likelihood: 229.6555
Converged: Yes

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Model results

Coef. Std.Err. z P>|z| [0.025 0.975]
Intercept 0.492 0.027 18.292 0.000 0.440 0.545
delivery[T.Vaginal] -0.025 0.033 -0.764 0.445 -0.089 0.039
diet[T.fd] -0.019 0.042 -0.457 0.647 -0.102 0.063
delivery[T.Vaginal]:diet[T.fd] -0.033 0.062 -0.541 0.589 -0.155 0.088
month -0.009 0.002 -4.615 0.000 -0.013 -0.005
month:delivery[T.Vaginal] 0.002 0.002 0.906 0.365 -0.002 0.007
month:diet[T.fd] -0.003 0.003 -0.886 0.376 -0.009 0.003
month:delivery[T.Vaginal]:diet[T.fd] 0.003 0.004 0.717 0.473 -0.006 0.012
Group Var 0.002 0.006

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Regression scatterplots

Projected Residuals

Fit values for metric vs. observation error (residuals). Residuals should be roughly zero-centered and normal. Uncentered, systematically high or low, and autocorrelated values could indicate a poor model.