I need some help answering a homework question,
I have entered the data into R using assignments
data <- data.frame(category=c(1:8), obese =c(597,380,665,524,1014,365,942,552), number = c(2346,1659,2576,1732,1499,639,1491,769), male=c(1,0,1,0,1,0,1,0), white =c(1,1,0,0,1,1,0,0), younger =c(1,1,1,1,0,0,0,0))
I then used
output = glm(obese ~ male + white + younger, family = binomial)
to model the data. But this doesn't seem to be working. I've not really used much R before for GLMs or logistic regression and I don't understand how to get GLM from categorial, binary predictor variables. If someone could explain the theory behind because searching online I have only found answers where the response variable is binary and this seems straight forward.