Based on the given feature description and task, the feature SEQN represents the respondent sequence number. To determine the appropriate ranges of values, we need to consider the typical age ranges for adults and seniors.

A common definition for senior age group is 60 years and above. Therefore, we can assume that SEQN values associated with seniors would fall within the higher range.

Based on this understanding, let's analyze the relationship between the feature SEQN and the target variable 'age group'.

```json
{
	"Adult": [10001.0, 10002.0, 10003.0, 10004.0, 10005.0],
	"Senior": [60001.0, 60002.0, 60003.0, 60004.0, 60005.0]
}
```

For the 'Adult' class, which represents non-seniors, we can assume typical SEQN values to range from 10,001 to 10,005. 

For the 'Senior' class, we can assume typical SEQN values to range from 60,001 to 60,005.

Please note that these values are meant to represent a general understanding and can vary depending on the specific dataset or context.