Based on prior knowledge about blood glucose levels, we can analyze the relationship between the feature LBXGLU (Respondent's Blood Glucose after fasting) and the task of predicting the person's age group (Senior or non-senior).

Typically, fasting blood glucose levels are used to diagnose diabetes or prediabetes. According to the American Diabetes Association, the normal fasting blood glucose level ranges from 70 to 99 mg/dL for non-diabetic individuals. However, since we are trying to classify between senior and non-senior age groups, we need to take age-related changes in blood glucose levels into account.

As individuals age, their fasting blood glucose levels can increase. Therefore, we can anticipate that the LBXGLU values for seniors might generally be higher compared to non-senior adults.

To create the dictionary with the required information, here is an example:

```json
{
	"Adult": [80.5, 85.2, 90.3, 95.1, 98.6],
	"Senior": [90.9, 95.4, 100.2, 105.3, 110.1]
}
```

This dictionary provides a general representation of LBXGLU values for the adult and senior age groups. It includes 5 typical LBXGLU values for each target class ('Adult' and 'Senior') as requested. Please note that these values are arbitrary and should be adjusted based on actual data and research.