Based on prior knowledge, let's assume that a higher maximum heart rate achieved (MaxHR) is associated with a higher likelihood of heart disease. 

To analyze the relationship between MaxHR and the task of whether the coronary angiography shows a heart disease, we can look at the distribution of MaxHR values for both the "no" and "yes" target classes.

Assuming "no" represents the absence of heart disease and "yes" represents the presence of heart disease, we can analyze the MaxHR values for each class and determine typical values.

Here is the dictionary with the MaxHR values for each target class:

```json
{
    "no": [150.0, 145.0, 148.0, 152.0, 155.0],  
    "yes": [165.0, 170.0, 175.0, 180.0, 185.0]  
}
```

Note: These values are arbitrary and should not be used as definitive thresholds for determining heart disease. They are only examples to demonstrate the dictionary structure and provide an understanding of the relationship between MaxHR and the task.