This is a simple fake data set to illustrate a logistic regression.
A data frame with 10000 observations on the following 2 variables.
a five-item functionally ordered categorical variable
a binary variable that is either 0 or 1
The data are generated such that the outcome
y is a logistic
function of the
x variable and come from a
rbinom() call. The
estimated natural logged odds of
x is 0 is -2.8. Each
unit increase in
x is simulated to increase the natural logged odds of
y by 1.4. This example is very much patterned off a similar fake data
set that Pollock (2012) uses to teach about logistic regression. In his case,
x is a stand-in for hypothetical education categories and
whether this fake person voted or not.