From the given feature description, DIQ010 represents whether the respondent is diabetic. To analyze the relationship between this feature and the target variable (age group), we need to consider the appropriate ranges of values for DIQ010.

Assuming that the age group "Senior" corresponds to individuals who are 65 years or older, we can define the following ranges of values for DIQ010:

- If DIQ010 is 1, it indicates that the respondent is diagnosed with diabetes.
- If DIQ010 is 2, it indicates that the respondent is not diagnosed with diabetes.
- If DIQ010 is 3, it indicates that the respondent's diabetic status is unknown.
- If DIQ010 is any other value, it is considered missing data.

Based on prior knowledge and assumptions, we can analyze the relationship between DIQ010 and the age group target variable. Please note that this analysis is based on the provided information and might not capture all possible scenarios:

- For the "Adult" age group:
    - DIQ010 values of 2 (not diagnosed with diabetes) would be more common.
    - DIQ010 values of 3 (diabetic status unknown) may be less common but can still appear.
    - DIQ010 values of 1 (diagnosed with diabetes) may occur but would be less frequent.

- For the "Senior" age group:
    - DIQ010 values of 2 (not diagnosed with diabetes) would still be possible but less common compared to the "Adult" group.
    - DIQ010 values of 3 (diabetic status unknown) would likely be less common.
    - DIQ010 values of 1 (diagnosed with diabetes) would be more frequent compared to the "Adult" group.

Based on this analysis, we can create the dictionary as follows:

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

Please note that the values in the dictionary are presented as floats.