Based on prior knowledge, the feature "n_r_ecg_p_05" represents the presence or absence of paroxysms of atrial fibrillation on an electrocardiogram (ECG) at the time of admission to the hospital. 

To analyze the relationship between this feature and the task of determining the presence of chronic heart failure, we can consider the following:

1. "no" category: This category indicates that there are no paroxysms of atrial fibrillation on the ECG. It is possible that patients without atrial fibrillation may also have chronic heart failure, so the presence of chronic heart failure cannot be definitively ruled out based on this category.

2. "yes" category: This category indicates the presence of paroxysms of atrial fibrillation on the ECG. Atrial fibrillation is a known risk factor for the development of chronic heart failure. Therefore, the presence of paroxysms of atrial fibrillation suggests a higher likelihood of chronic heart failure.

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

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

Note: In this case, since the feature values are categorical with only two categories, we include the entire category as a list even though it is a single value.