Based on prior knowledge, oldpeak is a numeric value measured in depression during exercise relative to rest. A higher oldpeak value indicates a higher degree of depression.

To analyze the relationship between oldpeak and the presence of heart disease, we can compare the oldpeak values for patients with and without heart disease. By looking at typical values for each target class ('no' and 'yes'), we can gain insights into the relationship between oldpeak and the presence of heart disease.

Here is the analysis:

- For the 'no' class (no heart disease):
  - Typical oldpeak values might include [0.0, 0.5, 1.0, 1.5, 2.0], which represent mild to moderate levels of depression during exercise relative to rest.
  - Patients with no heart disease generally tend to have lower oldpeak values.

- For the 'yes' class (heart disease present):
  - Typical oldpeak values might include [2.5, 3.0, 3.5, 4.0, 5.0], which represent moderate to severe levels of depression during exercise relative to rest.
  - Patients with heart disease generally tend to have higher oldpeak values.

Based on this analysis, we can create the requested dictionary:

```json
{
	"no": [0.0, 0.5, 1.0, 1.5, 2.0],
	"yes": [2.5, 3.0, 3.5, 4.0, 5.0]
}
```

Please note that the values provided are just examples and might vary based on the actual dataset being analyzed.