Based on my prior knowledge, the RestingECG feature in a coronary angiography report can provide some indications about the presence of heart disease. Here is my analysis:

- Normal RestingECG: Generally, a normal RestingECG suggests a low probability of heart disease. Therefore, patients with a normal RestingECG would likely have a higher chance of being classified as "no" for heart disease.

- ST (ST-T wave abnormality) RestingECG: An abnormal ST-T wave on a RestingECG can indicate myocardial ischemia, which is often associated with heart disease. Therefore, patients with an ST RestingECG are more likely to be classified as "yes" for heart disease.

- LVH (Left ventricular hypertrophy) RestingECG: LVH is a condition where the muscle wall of the left ventricle becomes thickened, usually as a result of high blood pressure or heart valve disorders. LVH can sometimes be an indicator of heart disease. Therefore, patients with an LVH RestingECG are more likely to be classified as "yes" for heart disease.

Based on this analysis, I can create the required dictionary:

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

In this dictionary, "no" represents the target class of patients with no heart disease, and the list contains the possible values of RestingECG for this class. Similarly, "yes" represents the target class of patients with heart disease, and the list contains the possible values of RestingECG for this class.