Based on the given feature description and task, it seems that the feature "Repetition" refers to the number of times a specific soybean cultivar has been repeated. The task is to determine whether the grain yield of the soybean cultivar will be low or high.

To analyze the relationship between the feature "Repetition" and the target variable (grain yield), we need more information about the relationship between these variables. It is possible that a higher repetition of a soybean cultivar could lead to better or worse grain yield, or it may have no impact at all. Without additional knowledge or data, it is difficult to make assumptions about the relationship between "Repetition" and grain yield.

As for the format of the dictionary, since the feature "Repetition" is a numeric variable, we can list some typical values for each target class ('low' and 'high'). However, without a clear understanding of the relationship between "Repetition" and the target variable, it is challenging to determine which values correspond to 'low' or 'high' grain yield.

Here is an example dictionary format for the given task:

```json
{
	"low": [1.0, 2.0, 3.0, 4.0, 5.0],
	"high": [6.0, 7.0, 8.0, 9.0, 10.0]
}
```

Please note that these values are hypothetical and do not reflect any specific relationship between "Repetition" and grain yield.