I am looking to run regression using a variety of predictor variables: Chemical exposure (1 or 0) - variety of chemicals but all are binary predictors, Illness diagnosis (1 or 0), and TBI severity (0 1 2 3, while controlling for education, age,sex, military rank etc.
Overall, I am trying to predict the outcome on the response score (# of correct answers) for various psychological test.
I am a bit confused on how I should set up my regression model given that I have a combination of categorical and continuous variables to predict continuous response. I'm thinking of using a glm model in R, but I am not exactly sure what family to use and how to view it graphical since most responses are binary.
Thoughts/Help is greatly appreciated