Based on my prior knowledge, the feature "month" represents the last contact month of the year. To analyze its relationship with the task of whether a client subscribes to a term deposit or not, we can examine the distribution of different month values for each target class.

Here is a dictionary that presents the possible values of the feature "month" for each target class:

```json
{
	"no": ["may", "jun", "jul", "aug", "oct", "nov", "dec"],
	"yes": ["mar", "apr", "sep"]
}
```

For the target class "no" (i.e., when the client does not subscribe to a term deposit), the possible values of "month" are: "may", "jun", "jul", "aug", "oct", "nov", and "dec".

For the target class "yes" (i.e., when the client subscribes to a term deposit), the possible values of "month" are: "mar", "apr", and "sep".

Note that we only include the month values that have a considerable number of occurrences for a particular target class.