My questions:

**1) Of the 4 plots [R] gives which ones are actually important to look at?**

2) What do these plots mean (see code below)?

2) What do these plots mean (see code below)?

Code:

```
[FONT="Courier New"]dat<-read.table("http://www.ats.ucla.edu/stat/R/dae/poisson_sim.csv", sep=",", header = TRUE)
summary(dat)
dat$pcat <-factor(dat$prog, labels=c("General", "Academic", "Vocational"))
attach(dat)
b.<-relevel(pcat, "General")
m1<-glm(num_awards ~ b. + math, family="poisson", dat)
summary(m1)
par(mfrow=c(2,2));plot(m1);par(mfrow=c(1,1))[/FONT]
```