Based on prior knowledge, the resting electrocardiogram (ECG) results can provide valuable information about the presence of heart disease. 

To analyze the relationship between the RestingECG feature and the task of determining whether the coronary angiography shows a heart disease, we can consider the following observations:

1. Normal Resting ECG Result: Patients with a normal ECG result may or may not have heart disease. It is possible for individuals with heart disease to have a normal ECG result, especially during resting conditions. Therefore, we cannot make a definitive determination based solely on this category.
2. ST-T Wave Abnormalities (ST): Patients with ST-T wave abnormalities in their ECG results are more likely to have heart disease. This abnormality often indicates myocardial ischemia or injury, which can be associated with heart disease. Therefore, this category suggests a higher probability of heart disease.
3. Left Ventricular Hypertrophy (LVH): LVH is a condition characterized by the thickening of the walls of the left ventricle of the heart. While LVH itself is not a heart disease, it can be a sign of underlying heart conditions. Patients with LVH in their ECG results may have an increased likelihood of heart disease.

Based on this analysis, we can create the following dictionary:

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

In this dictionary, the "no" key represents the target class "no" (coronary angiography does not show heart disease), and the "yes" key represents the target class "yes" (coronary angiography shows heart disease). The values for each key are the possible resting electrocardiogram results associated with the respective target class.

Please note that for the "no" class, we only include the value "Normal" as it is the only definitive indication of no heart disease. However, for the "yes" class, we include both "ST" and "LVH" as they indicate a higher probability of heart disease.