In R: Build a logistic regression model to predict the probability

Question

Build a logistic regression model to predict the probability that a student will be in the honors class, based on information we know about the student: Male , read = 50, math = 60. What is the probability?

For building the model, the only variables are female ( have to seperate gender from code) , Honors, read, and math

Model I want to show is :

m5 <- glm(hon ~ female + math + read + female * math * read, data = honor, family = binomial)
summary(m5)

summary

Male is 0 Female is 1 as levels when I go deeper as a Binary predictor for model. How can I add this on the model?

Is this correct model to build to extract logit values to make a probability?

Answer 1

predict(m5, newdata = data.frame(female = 0, read = 50, math = 60))