Based on prior knowledge, we can assume that individuals who are senior citizens are more likely to have diabetes compared to non-senior individuals. To analyze the relationship between the feature DIQ010 and the target task of predicting the age group, we can examine the distribution of DIQ010 values for the target classes 'Adult' and 'Senior'.

Here is the dictionary with the requested format:

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

This indicates that for the target class 'Adult', some typical DIQ010 values could be 0.0, 0.0, 1.0, 1.0, and 0.0, while for the target class 'Senior', some typical DIQ010 values could be 1.0, 1.0, 1.0, 0.0, and 1.0.

Please note that these values are just examples and may not be representative of the actual dataset. To obtain more accurate results, it would be necessary to analyze the specific dataset provided.