Can zero correlation hide a predictable pattern?
Reference inputs · synthetic data
- Records
- 9
- Data columns
- 2
- Missing cells
- 0
- Duplicate records
- 0
- Feature duplicates
- 0
9 of 9 records · One record = one observation. Statistics and downloads use all records.
About this dataset
Nine fixed inputs x = −4 through 4. Construct y using the selected relationship and scale. Pearson correlation measures linear association. It is undefined if either variable is constant. These constructed relationships are not causal evidence.
- Small deterministic teaching fixture; no random sampling or population inference.
- The explorer shows reference inputs. Each run report includes its own inputs and calculated evidence.
Counts exclude the row identifier. Duplicate counts are extra occurrences after the first. Feature duplicates ignore labels and experimental conditions. — means a statistic is undefined or not applicable.
- Row
- Stable record identifier, not a model feature.
- Input x
- Input x
- Output y
- Output y