Analyzing the relationship between the feature LBXIN (Respondent's Blood Insulin Levels) and the task of predicting age group (Senior or non-senior) requires prior knowledge of typical insulin level ranges for adults and seniors.

Typically, higher insulin levels are associated with conditions such as diabetes, obesity, and metabolic syndrome, which can be more prevalent in seniors compared to adults. However, it is important to note that insulin levels can vary greatly among individuals depending on various factors such as diet, health conditions, and genetics.

Based on general knowledge, we can assume the following ranges for insulin levels:
- Adult: 2 to 20 (units not specified)
- Senior: 10 to 50 (units not specified)

Using these ranges, we can generate a dictionary with LBXIN values for each target class:

```json
{
	"Adult": [2.5, 4.7, 6.3, 8.9, 12.1],
	"Senior": [12.5, 18.7, 22.3, 29.8, 36.4]
}
```

Please note that the provided LBXIN values are arbitrary and only serve as examples to illustrate the range of values for each target class. The actual values may vary and should be obtained from a reliable data source or domain expert.