Based on my prior knowledge, I can analyze the relationship between the RestingECG feature and the presence of heart disease.

To determine if a coronary angiography shows a heart disease, we need to understand if there are any specific RestingECG patterns associated with heart disease. The RestingECG feature provides information about the results of a resting electrocardiogram. 

Here's how the RestingECG feature could be related to the presence of heart disease:

1. Normal: A normal RestingECG result typically indicates a healthy heart without any significant abnormalities. It is less likely to be associated with heart disease.

2. ST changes: The presence of ST changes in the RestingECG might indicate an abnormality in the ST segment of the cardiac cycle. This abnormality can be associated with coronary artery disease and may suggest the presence of heart disease.

3. LVH (Left Ventricular Hypertrophy): LVH is a condition where the walls of the left ventricle become thickened. It can be a result of long-term high blood pressure or other underlying heart conditions. Though LVH itself is not a disease, it can be associated with an increased risk of heart disease.

Based on this analysis, we can create a dictionary detailing the possible values of the RestingECG feature for each target class:

```json
{
    "no": ["Normal"], 
    "yes": ["ST", "LVH"]
}
```

The "no" class represents cases where the coronary angiography does not show heart disease, and the RestingECG value is "Normal."
The "yes" class represents cases where the coronary angiography shows heart disease, and the RestingECG values can be "ST" or "LVH."

Note that we have not considered all possible values of RestingECG, but rather focused on the ones that are more likely to have a relationship with the presence of heart disease.