Based on the given feature description and task, it is not clear how the feature "Repetition" is related to the target variable "grain yield of this soybean cultivar". To analyze the relationship between the feature and task, we would need more information about the feature and its relevance to soybean cultivar grain yield.

However, if we assume that the "Repetition" feature represents the number of times a particular cultivar has been repeated or tested, we can make some general assumptions based on prior knowledge:

1. If the Repetition value is low, it may indicate that the soybean cultivar has been tested or repeated fewer times, which could indicate lower reliability or confidence in the grain yield.
2. If the Repetition value is high, it may indicate that the soybean cultivar has been tested or repeated multiple times, which could indicate higher reliability or confidence in the grain yield.

Based on these assumptions, we can generate a dictionary as requested with some example values:

```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 just examples and may not reflect the actual relationship between the feature "Repetition" and the target variable "grain yield of this soybean cultivar". More information and analysis would be needed to accurately determine the relationship.