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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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Why are residuals correlated with prediction when using linear mixed model with low number o...
**At this stage I got a problem:
the residuals show an upward-trend in relation to the fitted values
the residuals show an upward-trend in relation to the random effect prediction, which contradicts the … of residuals")
# qq plot of random effect
graph.4 <- ggplot(data = db_pred, aes(sample = ranef)) +
stat_qq() + stat_qq_line() +
theme_bw() +
ggtitle("qq plot of random effect")
# plot residuals …