This is a simple fake data set to illustrate a logistic regression.
Format
A data frame with 10000 observations on the following 2 variables.
xa five-item functionally ordered categorical variable
ya binary variable that is either 0 or 1
Details
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 y when 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 y is
whether this fake person voted or not.