Nothing
act.glm <-
glm(grad ~ ACT, data = Students, family = "binomial")
gpa.glm <-
glm(grad ~ hsGPA, data = Students, family = "binomial")
actgpa.glm <-
glm(grad ~ ACT + hsGPA, data = Students, family = "binomial")
msummary(actgpa.glm) %>% coef()
c(gpa = deviance(gpa.glm),
act = deviance(act.glm),
actgpa = deviance(actgpa.glm))
# small p-value suggests that adding gpa is helpful
1 - pchisq(deviance(act.glm) - deviance(actgpa.glm), df = 2)
# larger p-value here compared with act.glm suggests better fit
1 - pchisq(deviance(actgpa.glm), df = df.residual(actgpa.glm))
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.