Based on the given feature description, LBXGLT represents the respondent's oral health condition. To determine the appropriate ranges of values for this feature, we can make some assumptions based on prior knowledge:

1. We can assume that higher values of LBXGLT indicate better oral health, while lower values indicate worse oral health.
2. We can also assume that as individuals age, their oral health may deteriorate, resulting in lower LBXGLT values.

To analyze the relationship between LBXGLT and the task of predicting age group, we need additional information about the age groups and how they are defined. Without that information, we can only speculate based on general assumptions.

However, we can create a dictionary based on the given task, including 5 typical LBXGLT values for each target class:

```json
{
	"Adult": [0.7, 0.8, 0.9, 1.0, 1.1],
	"Senior": [0.5, 0.6, 0.7, 0.8, 0.9]
}
```

Please note that these LBXGLT values are just hypothetical examples and may not reflect the actual relationship between LBXGLT and age groups. To provide a more accurate analysis, we would need more information about the age groups and the specific dataset.