What does difference in the number of dots in Fitted vs Residuals plot mean?
Like in the below plots of two different models:
The length of fitted()
of both models is the same, but why does it seem that Model 2 has a lot more predictions?
Also does this kind of difference tell anything about the goodness of fit? Is more dots necessarily better?
The models are:
model1 <- glm(formula = cancer ~ exposure + skin + gender, family = binomial,
data = dta)
model2 <- glm(formula = cancer ~ exposure + age * trt * skin + gender,
family = binomial, data = dta)