Based on prior knowledge, we can analyze the relationship between the feature BMXBMI and the target task of predicting a person's age group (senior or non-senior). 

Since BMXBMI represents the body mass index, we can make assumptions about the ranges of values for different age groups. Generally, a body mass index of 18.5 to 24.9 is considered normal weight, while values above 30 are considered obese.

Assuming Senior age group refers to individuals who are 65 years or older, and non-senior refers to individuals younger than 65, we can create the following dictionary:

```json
{
	"Adult": [18.5, 20.0, 22.5, 24.0, 26.5], 
	"Senior": [20.0, 22.5, 25.0, 27.5, 30.0]
}
```

The possible BMXBMI values for the target class 'Adult' are [18.5, 20.0, 22.5, 24.0, 26.5] and for the target class 'Senior' are [20.0, 22.5, 25.0, 27.5, 30.0]. These values are just examples and can vary depending on the specific dataset and analysis.