Based on the provided feature description "LBXGLT" and the task of predicting the age group (senior or non-senior) from the given record, I will analyze the relationship between the feature and the target using prior knowledge.

Since the feature description "LBXGLT" is not clearly defined, I will assume that it represents a numeric variable related to the oral health of the respondent. To determine the appropriate ranges of values for each age group, I will make some assumptions based on common oral health issues that are more prevalent in seniors compared to non-seniors.

Analysis:
- Possible values of LBXGLT for the target class "Adult" (non-senior) may include values that represent normal or healthy oral conditions, such as a score of 0 or within a certain range. For typical values, I will consider the following: 0.5, 1.0, 1.5, 2.0, 2.5.
- Possible values of LBXGLT for the target class "Senior" may include values indicating deteriorating oral health, such as higher scores or a wider range of values. For typical values, I will consider the following: 3.0, 3.5, 4.0, 4.5, 5.0.

Based on these assumptions, here is the generated dictionary:

```json
{
	"Adult": [0.5, 1.0, 1.5, 2.0, 2.5],
	"Senior": [3.0, 3.5, 4.0, 4.5, 5.0]
}
```

Please note that these values are hypothetical and may not reflect the actual relationship between the feature "LBXGLT" and the target age group accurately. It is important to conduct further analysis and gather more specific information to accurately determine the appropriate values for each target class.