Recall from Chapter 3 that there are three broad categories of variables, namely:
-
Categorical variables: Data such as the industry of a firm or religion of a person, that indicates only
membership of an observation in a certain category, with no other mathematical meaning
to the data (no preference or order of the categories, no possibility of mathematical
operations on the data).
-
Ordinal data: Data such as rankings of consumer car preferences. The data has only an order, but
no sense of the distances between the data points.
-
Continuous data: Data on a scale running from low to high on a relatively mathematically fine scale, such as prices or perhaps answers to a survey ...