Based on the given feature description, DIQ010 represents whether the respondent is diabetic or not. To determine appropriate ranges of values, we can refer to common diagnostic criteria for diabetes.

Since the task is to predict whether a person belongs to the "Senior" or "Non-senior" age group, we need to analyze the relationship between DIQ010 and the age group.

To accomplish this, we can start by examining the data and categorizing the values of DIQ010 based on age groups. However, without access to actual data, we can provide a general analysis based on prior knowledge.

Based on prior knowledge, let's assume the following age group classification:
- "Adult": age < 65
- "Senior": age >= 65

Taking into account this age group classification, we can analyze the possible values of DIQ010 for each target class.

```json
{
	"Adult": [0.0, 1.0, 2.0, 3.0, 4.0],
	"Senior": [0.0, 1.0, 2.0, 3.0, 4.0]
}
```

Please note that the actual values for DIQ010 might not be limited to the ones mentioned. This analysis assumes that there are five distinguishable values for DIQ010, denoted as floats.