A dataset of fake intelligibility scores for testing and demonstrating
modeling functions. These were created by randomly sampling 200 rows of an
intelligibility dataset and adding random noise to the age_months and
intelligibility variables. These values do not measure any real children
but represent plausible age and intelligibility measurements from our kind of
work.