Based on my prior knowledge of blood glucose levels and age groups, I can analyze the relationship between the feature "LBXGLU" (Respondent's Blood Glucose after fasting) and the task of predicting the age group, whether it is a Senior or non-Senior.

For determining the appropriate ranges of values, I will consider that normal fasting blood glucose levels for adults typically range from 70 to 99 mg/dL. Higher levels may indicate prediabetes or diabetes.

Based on this analysis, I will create a dictionary with the LBXGLU values for the target classes 'Adult' and 'Senior':

```json
{
	"Adult": [70.5, 80.2, 92.3, 95.1, 97.6],
	"Senior": [88.4, 90.9, 101.7, 105.2, 109.6]
}
```

Please note that the provided values are just examples for the purpose of illustration and should not be considered as actual age group predictions. Actual values would require a dataset and suitable data analysis techniques.