Based on prior knowledge and understanding of the relationship between RestingECG and heart disease, we can analyze the feature and its potential impact on the target variable.

RestingECG is a categorical variable with three categories: 'Normal', 'ST', and 'LVH'. In the context of a coronary angiography showing heart disease, it is likely that the presence of abnormalities in the resting electrocardiogram (ECG) results would be associated with a higher likelihood of heart disease. Therefore, it is expected that the category 'ST' and 'LVH' may have a higher likelihood of indicating heart disease compared to the 'Normal' category.

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

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

In this case, the values for the target class "no" (indicating absence of heart disease) would be 'Normal'. The values for the target class "yes" (indicating presence of heart disease) would include both 'ST' and 'LVH'.