# Script for Binary Logistic Regression # exponentiated coefficients (Odds Ratio) in the model GLM.1 exp(coef(GLM.1)) # 95% CI for exponentiated coefficients (CI of Odds Ratio) in the model GLM.1 exp(confint(GLM.1)) # The following script will compute the predicted probability # using predictor variables AGE and SECTOR in the model GLM.1 predict(GLM.1, newdata=data.frame(AGE=25,SECTOR="Sector 1"), type="response") # predicted values from all data cases used to build the model GLM.1 predict(GLM.1, type="response") # residuals from all data cases used to build the model GLM.1 residuals(GLM.1, type="deviance")