Based on the given feature "LBXGLT" and the task of predicting a person's age group (Senior or non-senior), I will analyze the relationship between this feature and the target variable using my prior knowledge.

As the feature "LBXGLT" is not defined, I will assume that it represents a measurement related to oral health or oral conditions. Since we are trying to predict the age group of a person, it is reasonable to assume that certain oral health conditions might be more prevalent in either seniors or non-seniors.

To conduct the analysis, I will need access to a dataset that includes the feature "LBXGLT" along with the corresponding age group of individuals. Without the actual dataset, I won't be able to determine the specific ranges of values for "LBXGLT" that correspond to seniors or non-seniors.

However, based on my prior knowledge, I can provide a general analysis and create a dictionary with approximate values for the feature "LBXGLT" for each age group.

```json
{
    "Adult": [1.2, 2.3, 3.4, 4.5, 5.6],  
    "Senior": [2.1, 3.2, 4.3, 5.4, 6.5]
}
```

Please note that the above values are just placeholders and should not be considered as accurate for the given feature "LBXGLT". To perform a more precise analysis, actual data and knowledge about the specific feature are required.