Based on prior knowledge, the RestingECG feature is a result of a resting electrocardiogram, which measures the electrical activity of the heart while at rest. The feature has three categories: 'Normal', 'ST' (ST-T wave abnormality), and 'LVH' (left ventricular hypertrophy).

To analyze the relationship between RestingECG and the presence of heart disease indicated by coronary angiography, we can examine any patterns or differences in the RestingECG category distribution for patients with and without heart disease.

Here is a possible analysis:

```
no: ['Normal', 'LVH']  // possible RestingECG values for patients without heart disease
yes: ['Normal', 'ST', 'LVH']  // possible RestingECG values for patients with heart disease
```

In this case, the 'Normal' category is present in both the 'no' and 'yes' classes, suggesting that patients with both normal and abnormal resting electrocardiogram results can have heart disease. The 'LVH' category is also present in both classes, implying that left ventricular hypertrophy may not be a definitive indicator of heart disease. However, the 'ST' category is only present in the 'yes' class, indicating that a ST-T wave abnormality may be a more specific marker for heart disease.

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

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