Based on prior knowledge, we are looking to analyze whether the presence of a right ventricular myocardial infarction (IM_PG_P) is related to the occurrence of chronic heart failure. To do this, we need to examine the relationship between the IM_PG_P feature and the target variable, chronic heart failure.

To analyze this relationship, we would ideally have access to a dataset with information on both IM_PG_P and the occurrence of chronic heart failure for different patients. This dataset would allow us to examine the distribution of IM_PG_P values among patients with and without chronic heart failure.

However, since we do not have access to such a dataset, we can analyze the relationship based on logical reasoning. Generally, patients with a right ventricular myocardial infarction (IM_PG_P = 'yes') may be at a higher risk of developing chronic heart failure compared to those without (IM_PG_P = 'no'). This is because a myocardial infarction in the right ventricle can impair its pumping function and lead to heart failure over time.

Considering this logic, we can create a dictionary with the following format:

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

In this case, patients with chronic heart failure would be associated with the value 'yes', indicating the presence of a right ventricular myocardial infarction (IM_PG_P = 'yes'). Patients without chronic heart failure would be associated with the value 'no', indicating the absence of a right ventricular myocardial infarction (IM_PG_P = 'no').

Please note that since there is no dataset provided to analyze the relationship statistically, this analysis is based on logical reasoning, and the dictionary includes the possible values of IM_PG_P for each target class.