Adjusting for non-normal errors
In this last example, it appears as though the points are not normally distributed around the regression line. Again, note that the fix in this exercise has the effect of changing both the variability as well as modifying the linearity of the relationship.
Este ejercicio forma parte del curso
Inference for Linear Regression in R
Ejercicio interactivo práctico
Prueba este ejercicio completando el código de muestra.
# Run this to see how the model looks
ggplot(hypdata_nonnorm, aes(x = explanatory, y = response)) +
geom_point() +
geom_smooth(method = "lm", se = FALSE)
# Model response vs. explanatory
model <- ___
# Extract observation-level information
modeled_observations <- ___
# See the result
modeled_observations
# Using modeled_observations, plot residuals vs. fitted values
___