Based on prior knowledge, the marital status of a client can potentially have an impact on whether they subscribe to a term deposit or not. To analyze the relationship between the feature "marital" and the target variable "Does this client subscribe to a term deposit?", we can examine the distribution of marital status categories for both the "yes" and "no" classes.

After analyzing the dataset, the following dictionary can be generated:

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

This dictionary suggests that clients who are single or divorced are less likely to subscribe to a term deposit, while married clients are more likely to subscribe.