Based on prior knowledge, the relationship between age and the presence of heart disease can be analyzed. In general, the risk of heart disease tends to increase with age. However, there is no specific age range that definitively determines the presence of heart disease in a patient. 

To create the dictionary, we need to analyze the data and identify typical age values for patients with and without heart disease. Let's assume that a target class of "no" represents patients without heart disease, and the target class of "yes" represents patients with heart disease.

Based on available data, the following dictionary can be generated:

```json
{
	"no": [40.0, 42.0, 45.0, 50.0, 55.0],
	"yes": [65.0, 68.0, 70.0, 72.0, 75.0]
}
```

This dictionary provides typical age values for patients with and without heart disease. The values are presented as floats in lists. Please note that the provided age values are just examples and may not be accurate for all cases.