Based on the feature description, the feature "n_r_ecg_p_06" represents the presence or absence of a persistent form of atrial fibrillation on ECG at the time of admission to the hospital. To analyze the relationship between this feature and the task of determining whether the patient has chronic heart failure, we need to examine how the values of this feature are related to the presence or absence of chronic heart failure.

To build the dictionary, we will analyze the values of the feature "n_r_ecg_p_06" for each target class:

For target class "no" (absence of chronic heart failure):
- The feature value "no" suggests that there is no persistent form of atrial fibrillation on ECG at the time of admission to the hospital.

For target class "yes" (presence of chronic heart failure):
- The presence of a persistent form of atrial fibrillation on ECG at the time of admission to the hospital might imply a higher likelihood of chronic heart failure.

Based on this analysis, the dictionary can be constructed as follows:

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

This dictionary indicates that for the target class "no" (no chronic heart failure), the feature value "no" is the only possible value. For the target class "yes" (chronic heart failure), the feature value "yes" is the only possible value.