Based on prior knowledge, the RestingECG feature is a measurement of the electrical activity of the heart at rest. It provides information about the presence of abnormalities in the heart's electrical signals. 

To analyze the relationship between RestingECG and the presence of heart disease shown by coronary angiography, we can examine previous research or medical knowledge to identify any known associations. 

Unfortunately, without specific data or research findings, it is difficult to accurately determine the relationship between RestingECG and the presence of heart disease. However, we can speculate on possible scenarios based on general knowledge:

1. "Normal" RestingECG: It is likely that individuals with a normal RestingECG would have a lower probability of heart disease. Therefore, "Normal" could be associated with a "no" classification.
2. "ST" (ST-T wave abnormality) RestingECG: This category represents abnormalities in the ST segment and T waves of the ECG. Depending on the severity and type of abnormalities, it is possible that individuals with this type of RestingECG may be more likely to have heart disease. Hence, "ST" could be associated with a "yes" classification.
3. "LVH" (left ventricular hypertrophy) RestingECG: This category indicates an enlarged left ventricle, which can be caused by various factors. Left ventricular hypertrophy is often associated with heart disease or certain medical conditions. Therefore, "LVH" could also be associated with a "yes" classification.

Based on this analysis, we can create a dictionary as follows:

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

Please note that this is a speculative analysis. The actual relationship between RestingECG and heart disease can vary depending on the specific dataset and research findings. It is crucial to consult medical professionals or conduct a comprehensive analysis on specific data to obtain accurate conclusions.