Based on prior knowledge, the feature "n_r_ecg_p_03" represents the presence or absence of ventricular contractions on the electrocardiogram (ECG) at the time of admission to the hospital. To analyze the relationship between this feature and the task of determining if the patient shows chronic heart failure, we can examine the distribution of the feature values across the target classes.

Here is the analysis:

For target class "no" (no chronic heart failure), the possible values of feature "n_r_ecg_p_03" could be:
- "no" (representing no ventricular contractions on ECG at the time of admission to the hospital)

For target class "yes" (chronic heart failure), the possible values of feature "n_r_ecg_p_03" could be:
- "no" (representing no ventricular contractions on ECG at the time of admission to the hospital)
- "yes" (representing presence of ventricular contractions on ECG at the time of admission to the hospital)

Based on this analysis, we can create the dictionary as follows:

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