Analysis:

To analyze the relationship between the feature DIQ010 and the target variable (age group), we can use our prior knowledge about diabetes and age groups.

Typically, diabetes is more prevalent in older adults. Therefore, we can assume that the values of DIQ010 may differ for the two age groups - senior and non-senior (adult).

Based on this assumption, we can divide the data into two categories:
1. Adult: This category includes individuals who are not seniors (typically below a certain age threshold). We can assume that the DIQ010 values for this category would be lower, indicating a lower prevalence of diabetes.
2. Senior: This category includes individuals who are seniors (above the age threshold). We can assume that the DIQ010 values for this category would be higher, indicating a higher prevalence of diabetes.

To create the dictionary, we will look for typical DIQ010 values for each age group.

Dictionary:

```json
{
	"Adult": [0.0, 0.5, 1.0, 1.5, 2.0],
	"Senior": [2.0, 2.5, 3.0, 3.5, 4.0]
}
```

Please note that the actual threshold for separating seniors from adults and the specific DIQ010 values can vary depending on the dataset and the specific research study. The values provided above are just examples and should be further validated based on the dataset and research domain.