Based on prior knowledge, it is expected that the age of a patient can be a significant factor in determining the presence of heart disease. Generally, as individuals get older, the risk of developing heart disease increases. To analyze the relationship between age and the task, we can compare the age values for patients with and without heart disease.

To create the dictionary, we need to identify typical age values for each target class ('no' and 'yes'). Here is an example of how the dictionary would look like:

```json
{
	"no": [44.5, 50.0, 55.2, 60.8, 69.3],
    "yes": [51.2, 57.9, 63.7, 72.4, 78.1]
}
```

Note that the age values presented here are arbitrary and for illustrative purposes only. In a real analysis, specific data would be needed to provide accurate and meaningful values.