From the feature description, "installment_commitment" represents the installment rate in percentage of disposable income. To determine the relationship between this feature and the task of whether the person receives credit or not, we can analyze the typical values of installment_commitment for each target class ('yes' and 'no').

Based on prior knowledge, we can assume that a higher installment_commitment rate indicates a higher financial commitment, which may affect the person's creditworthiness. Lower installment_commitment rates, on the other hand, may indicate a lower financial burden and potentially increase the chances of receiving credit.

Here's the dictionary with the typical values of installment_commitment for each target class:

```json
{
	"yes": [10.0, 12.5, 15.0, 17.5, 20.0],
	"no": [30.0, 32.5, 35.0, 37.5, 40.0]
}
```

Please note that the specific values provided here are hypothesized and can vary depending on the dataset and domain knowledge.