Based on prior knowledge and analysis, the age of a patient can be an important factor in determining the presence of heart disease. Typically, older individuals are more prone to developing heart diseases. 

Here is the dictionary representing the relationship between the feature "Age" and the target variable:

```json
{
	"no": [30.0, 35.0, 40.0, 45.0, 50.0],
	"yes": [55.0, 60.0, 65.0, 70.0, 75.0]
}
```

This dictionary suggests that for patients with heart disease indicated by "yes" in the target variable, the typical ages are around 55.0, 60.0, 65.0, 70.0, and 75.0. On the other hand, for patients without heart disease indicated by "no" in the target variable, the typical ages are around 30.0, 35.0, 40.0, 45.0, and 50.0.