Based on prior knowledge, the feature n_r_ecg_p_03 represents the presence or absence of ventricular contractions on ECG at the time of admission to the hospital. To determine if this feature is related to the occurrence of chronic heart failure, we need to analyze the relationship between n_r_ecg_p_03 and the target variable (myocardial infarction complications data showing chronic heart failure).

To perform the analysis, we will examine the data for patients with chronic heart failure and patients without chronic heart failure separately. We will identify the possible values of n_r_ecg_p_03 for each target class and create a dictionary with these details.

Here is the requested dictionary:

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

In this case, the dictionary shows that for both target classes ("no" and "yes"), the possible values of n_r_ecg_p_03 are "no" and "yes". This implies that the values of n_r_ecg_p_03 do not provide a clear distinction between patients with chronic heart failure and those without it, as both target classes contain the same set of values for the feature.