Based on the feature description, it seems like SEQN is a unique identifier or sequence number for each respondent. It is unclear how this feature is related to the task of predicting age group (senior or non-senior). Without any additional information or context, it is difficult to analyze the relationship between SEQN and the target variable.

However, I can still create a dictionary with SEQN values for each target class assuming that the task is to predict age group based on SEQN. Keep in mind that this assumption might not be valid without further clarification.

Here is the dictionary:

```json
{
	"Adult": [1.0, 3.0, 4.0, 7.0, 9.0],
	"Senior": [2.0, 5.0, 6.0, 8.0, 10.0]
}
```

Please note that the actual values for SEQN might vary depending on the dataset or context.