Question

categorical data analysis and R help

Answer 1

Using table 2.10 on page 50, t a logit model treating death penalty as
response (1 = yes) and defendant's race (1 = white) and victim's race (1 =
white) as dummy predictors
(a) Interpret the parameter estimates. Which group is most likely to have
the yes response? Find the estimated probability in that case.

Answer 2

R code that i wrote :
v <- c(1,0)
d <- c(1,0)
p <- c(1,0)

fit <- glm(p~ v +d, family = binomial(link = logit))

summary(fit)

Answer 3

and the output is :
> v <- c(1,0)
> d <- c(1,0)
> p <- c(1,0)
>
> fit <- glm(p~ v +d, family = binomial(link = logit))
>
> summary(fit)

Call:
glm(formula = p ~ v + d, family = binomial(link = logit))

Deviance Residuals:
[1] 0 0

Coefficients: (1 not defined because of singularities)
Estimate Std. Error z value Pr(>|z|)
(Intercept) -23.57 79462.00 0 1
v 47.13 112376.24 0 1
d NA NA NA NA

(Dispersion parameter for binomial family taken to be 1)

Null deviance: 2.7726e+00 on 1 degrees of freedom
Residual deviance: 2.3305e-10 on 0 degrees of freedom
AIC: 4

Number of Fisher Scoring iterations: 22