After analyzing the relationship between the feature "buying price" and the target task "decision to buy this car", the following can be observed:

- The feature "buying price" is a categorical variable with four categories: 'very high', 'high', 'medium', and 'low'.
- It is likely that there will be a relationship between the buying price and the decision to buy the car.
- Customers may have different preferences and opinions depending on the price category.

Based on this analysis, we can create a dictionary that shows the possible values of the feature "buying price" for each target class:

```json
{
	"unacceptable": ["high", "very high"],
	"acceptable": ["medium"],
	"very good": ["low"],
	"good": ["low", "medium"]
}
```

Please note that the values in the dictionary are just examples and may vary depending on the dataset and specific context.