Based on prior knowledge, we can analyze the relationship between RestingECG and the presence of heart disease using coronary angiography. 

It is known that certain resting electrocardiogram (ECG) abnormalities can indicate underlying heart conditions. Here are some observations that can be made:

- "Normal" RestingECG: This category generally indicates a healthy individual with no significant ECG abnormalities. It is unlikely to be associated with heart disease.
- "ST" RestingECG: This category refers to the presence of ST segment abnormalities on the ECG. ST segment changes can be associated with myocardial ischemia or infarction, which are indicative of heart disease. Hence, this category is more likely associated with heart disease.
- "LVH" RestingECG: LVH stands for left ventricular hypertrophy, which is an abnormal thickening of the left ventricle of the heart. LVH can be caused by various factors, including hypertension and heart disease. Therefore, this category is also more likely associated with heart disease.

Based on this analysis, we can create the dictionary:

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

Note that we only include the "ST" and "LVH" categories in the "yes" list as these are the RestingECG values more likely associated with heart disease. The "Normal" category is included in the "no" list as it indicates a lack of significant ECG abnormalities and is less likely associated with heart disease.