Based on the given feature description and task, it seems that the feature SEQN is a respondent sequence number. Without any further information about the dataset, it is difficult to determine the appropriate ranges of values for this feature.

However, assuming that the SEQN values are sequential and unique for each respondent, it is unlikely to be directly related to the target variable of age group (senior or non-senior). Therefore, it may not be helpful in predicting the age group based on this feature alone.

Nevertheless, let's assume that we have some sample data and analyze the relationship between SEQN and age group.

Here is an example dictionary generated with some random sample values:

```json
{
    "Adult": [12345.0, 67890.0, 23456.0, 78901.0, 34567.0],
    "Senior": [98765.0, 43210.0, 87654.0, 32109.0, 76543.0]
}
```

Please note that these values are fabricated for illustration purposes only, as it is not possible to accurately determine the relationship without actual data.