Based on prior knowledge, we can analyze the relationship between the feature "nr_11" (Observing of arrhythmia in the anamnesis) and the target variable "chronic heart failure".

To determine if the patient shows chronic heart failure, we need to observe the occurrences of arrhythmia in the patient's medical history.

If the value of "nr_11" is "no", it indicates that there is no observation of arrhythmia in the patient's anamnesis. In this case, it is less likely that the patient shows chronic heart failure.

If the value of "nr_11" is "yes", it indicates that there is an observation of arrhythmia in the patient's anamnesis. In this case, it is more likely that the patient shows chronic heart failure.

The relationship between the feature "nr_11" and the target variable "chronic heart failure" can be summarized as follows:

- If the value of "nr_11" is "no", it is less likely that the patient shows chronic heart failure.
- If the value of "nr_11" is "yes", it is more likely that the patient shows chronic heart failure.

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

```json
{
	"no": ["no"],
	"yes": ["yes"]
}
```

Please note that since the feature "nr_11" is a binary categorical variable, we only have two possible values. Thus, the lists in the dictionary contain only one value each.