Based on the given feature description, LBXGLT represents the respondent's oral health. To analyze the relationship between LBXGLT and the target variable (age group: Senior or non-senior), we need to consider typical values for each age group.

Since the feature LBXGLT is a numerical variable, we need to determine the appropriate ranges of values for each age group. However, without additional information, it is challenging to accurately define these ranges. To provide a meaningful analysis, let's assume the following age groups:

- Adult: 18 to 64 years old
- Senior: 65 years old and above

Based on this assumption, we can proceed with creating the requested dictionary:

```json
{
	"Adult": [30.5, 35.2, 40.9, 42.1, 47.8],
	"Senior": [55.3, 60.2, 68.9, 70.4, 75.1]
}
```

In the dictionary above, I have provided five typical LBXGLT values for each age group. Please note that these values are randomly chosen and are solely for example purposes. In a real analysis, it is essential to have domain knowledge and appropriate data to determine the ranges and typical values accurately.