Based on the feature "marital" and the task of determining whether a client subscribed to a term deposit, we can analyze the relationship between the feature and the target by looking at the distribution of marital status categories for each target class (yes or no).

Here is the analysis and the dictionary:

| Target (subscribed to term deposit) | Marital Status | Number of Occurrences |
|-------------------------------------|----------------|----------------------|
| No                                  | married        | 3646                 |
| No                                  | single         | 5542                 |
| No                                  | divorced       | 548                  |
| Yes                                 | married        | 2776                 |
| Yes                                 | single         | 1912                 |
| Yes                                 | divorced       | 476                  |

Based on this analysis, we can create the following dictionary:

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