Based on prior knowledge, the installment_commitment feature can be thought of as the percentage of disposable income that a person commits to paying their installments. To analyze the relationship between this feature and the task of whether a person receives a credit or not, we can consider the following:

1. Higher installment_commitment values might indicate a higher commitment to paying off installments, which could be seen as a positive factor in receiving a credit.
2. Lower installment_commitment values might suggest a lower commitment to paying off installments, which could be seen as a negative factor in receiving a credit.

Based on this analysis, let's create the dictionary:

```json
{
	"yes": [20.0, 25.0, 30.0, 35.0, 40.0],
	"no": [5.0, 10.0, 15.0, 45.0, 50.0]
}
```

In this dictionary, we have provided 5 typical values for installment_commitment for each target class ('yes' and 'no'). These values are presented as floats in the lists.