Based on prior knowledge, we can assume that the age group for "Senior" is typically above a certain threshold, while the age group for "Adult" is below that threshold. 

Let's assume that the threshold for being classified as a "Senior" is 60 years old. 

So the analysis of the relationship between the feature RIAGENDR (Respondent's Gender) and the target (Age Group) would depend on the distribution of genders within the "Senior" and "Adult" groups. 

To generate the requested dictionary, we need to determine the typical values of RIAGENDR for each target class. Since there is no dataset provided, we can only provide hypothetical values based on common assumptions.

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

This is just an example, and the actual values would depend on the specific dataset being analyzed.