Based on prior knowledge, the feature DIQ010 represents whether the respondent is diabetic or not. To determine the appropriate ranges of values, we can categorize the values into two groups: "Yes" indicating the respondent is diabetic, and "No" indicating the respondent is not diabetic.

Here's the analysis of the relationship between the feature and task:

DIQ010 values for class "Adult":
- 1.0
- 2.0
- 3.0
- 7.0
- 9.0

DIQ010 values for class "Senior":
- 1.0
- 2.0
- 3.0
- 7.0
- 8.0

Based on this analysis, we can create the following dictionary:

```json
{
	"Adult": [1.0, 2.0, 3.0, 7.0, 9.0],
	"Senior": [1.0, 2.0, 3.0, 7.0, 8.0]
}
```