To analyze the relationship between the feature LBXGLT and the target variable (age group), we need to understand how LBXGLT values can be associated with different age groups.

Since the given feature description does not specify the exact meaning or context of LBXGLT, we cannot rely on its definition alone. However, based on our prior knowledge and assumptions, we can make some general observations about age groups and oral health conditions.

Assuming that LBXGLT is a measure of oral health, we can infer that as people age, they are more likely to experience oral health issues. Therefore, it is reasonable to expect that LBXGLT values may differ between senior and non-senior age groups.

Given this understanding, let's create a dictionary with possible LBXGLT values for each target class:

```json
{
	"Adult": [5.0, 6.2, 7.3, 8.5, 9.1],
	"Senior": [6.7, 7.9, 8.8, 9.7, 10.2]
}
```

Please note that the LBXGLT values provided in the dictionary are just hypothetical examples and may not reflect actual data. However, they demonstrate the expected relationship between the feature and the target variable.