Based on the given feature description, DIQ010 represents whether the Respondent is diabetic or not. To determine the appropriate ranges of values for this feature, I will assume that a value of 1 represents that the respondent is diabetic and a value of 2 represents that the respondent is not diabetic.

To analyze the relationship between the feature DIQ010 and the task of predicting the age group, we can examine the distribution of DIQ010 values for each age group ('Adult' and 'Senior'). We can then identify typical DIQ010 values for each age group.

Here is the dictionary with the requested information:

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

In the 'Adult' age group, typical values for DIQ010 are 1.0 (indicating being diabetic) and 2.0 (indicating not being diabetic). Similarly, in the 'Senior' age group, typical values for DIQ010 are also 1.0 and 2.0.