To analyze the relationship between the feature LBXGLT and the task of predicting the person's age group (senior or non-senior), we need to understand the age ranges for senior and non-senior individuals. 

Based on prior knowledge, let's assume that individuals aged 65 and above are considered seniors, while individuals below 65 are considered non-seniors.

Using this information, we can create a dictionary that includes the typical LBXGLT values for each target class:

```json
{
	"Adult": [21.5, 23.2, 26.8, 28.3, 30.1],
	"Senior": [38.9, 41.2, 43.7, 45.9, 47.5]
}
```

These values represent examples of LBXGLT measurements for both adult and senior individuals. Keep in mind that these examples are not exhaustive and should be seen as representative values rather than an exhaustive list of possible LBXGLT measurements for each age group.