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The residuals of a model are the actual values minus the predicted values. Many statistical models make assumptions about the error, which is estimated by the residuals.

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Is the linear mixed-effects model the right choice for analysing my data?

measuremnet ~ Genetic_profile*Age + Gender + (1 | animal), data = data_set) I attached a picture of a plot of residals vs fitted (plot(model)) and it definitely does not look like the right fit (residuals
Ala Czesik's user avatar