Based on the given feature "marital" and the task of predicting whether a client subscribes to a term deposit, we can analyze the relationship between the feature and the target by looking at the distribution of the feature values for each target class.

Here is a dictionary with the relationship between the feature "marital" and the target "subscription to term deposit":

```json
{
	"no": ["married", "single", "divorced"],
	"yes": ["married", "single", "divorced"]
}
```

Based on the information given, it appears that all possible values of the feature "marital" (i.e., "married", "single", "divorced") are present for both target classes "no" and "yes". Hence, it is not necessary to exclude any particular values from the dictionary.