Question

(Select all that apply) Which of the following variables would be good candidates for conversion to categoricals?

A) Height
B) Age group
C) Temperature
D) Income level

Answer 1

Age group and Income level are good candidates for conversion to categoricals, as they are often represented in distinct categories or groups, while Height and Temperature are typically continuous variables.

Step-by-step explanation:

When considering which variables are good candidates for categorical conversion, we look for those variables that can take on a limited, fixed number of possible values, each of which represents a category or group. From the list provided:

• Height would typically be seen as a continuous variable, not categorical, as it can range over many possible values.
• Age group is a classic example of a categorical variable, as people are often binned into categories like '0-18', '19-35', etc.
• Temperature, like height, is normally a continuous measurement.
• Income level is often represented as a categorical variable, especially when we break income into bands or groups for analysis, such as 'low income', 'middle income', 'high income'.

Therefore, Age group and Income level are good candidates for conversion to categoricals.