Based on prior knowledge, the RestingECG feature can provide some insights into the presence of heart disease.

Here is the analysis of the relationship between the RestingECG feature and the task of identifying heart disease:

- Normal ECG (RestingECG = 'Normal'): Patients with a normal resting electrocardiogram are less likely to have heart disease. So, the target class 'no' is more probable for this value of RestingECG.

- ST-T wave abnormality (RestingECG = 'ST'): This category indicates abnormalities in the ST segment or T wave of the ECG. It could be indicative of heart problems, but further investigation is needed. Hence, both target classes, 'yes' and 'no', have a possibility for this value of RestingECG.

- Left ventricular hypertrophy (RestingECG = 'LVH'): LVH is often associated with heart disease, particularly in the context of high blood pressure. Hence, the target class 'yes' is more probable for this value of RestingECG.

Based on this analysis, the dictionary representing the relationship between the RestingECG feature and the target variable can be constructed as follows:

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

Note that the dictionary only includes the RestingECG categories that are associated with a non-empty list of values for each target class.