What is the association between two variable in a glm model?

Question

I have created the following model, but am having problems with the interpretation. I have to answer the following questions. Can you please explain how I do this?

Interpret the association between education level and family size. What other general observations can you make about the effects and relationships for these three variables, based on the coefficients in your models? Include at least two conclusions here.

data model

count <- c(130,41,16,633,334,88,18,14,8,168,51,16,1270,583,186,55,17,10,472,130,25,
       2856,959,285,139,71,21,27,5,2,149,9,2,10,2,0)
family <- rep(c("1", "2", "3", "4"), each = 9)
education <- rep(c("1", "2", "3"), 12)
race <- rep(rep(c("African American", "Caucasian", "Other"), each = 3),4)
m4 <- glm(count ~ race * education + race * family + education * family, family = 
poison)
summary(m4)