Scatter Graphs
Metadata
- Name: scatter-graphs
- Description: Correlation and relationship analysis
- Triggers: scatter plot, correlation, relationship, XY chart
Instructions
Analyze relationships between variables for $ARGUMENTS using scatter graphs.
Framework
Scatter Plot Types
| Pattern | Meaning | Action |
|---|---|---|
| ↑ Positive | Direct correlation | Leverage relationship |
| ↓ Negative | Inverse correlation | Manage trade-off |
| ○ None | No correlation | Look for other factors |
| ◐ Clustered | Segments exist | Analyze separately |
Correlation Strength
Strong Positive (r > 0.7):
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No Correlation (r ≈ 0):
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Output
## Scatter Analysis: [Variables]
### Data Summary
| X Variable | Y Variable | n | Correlation (r) |
|------------|------------|---|-----------------|
| Price | Volume | 50 | -0.65 |
| Ad Spend | Revenue | 50 | +0.72 |
| Size | Profit | 50 | +0.45 |
### Key Findings
**Relationship 1: Price vs Volume**
- Correlation: -0.65 (moderate negative)
- Interpretation: Higher price reduces volume
- Action: [Recommendation]
**Relationship 2: Ad Spend vs Revenue**
- Correlation: +0.72 (strong positive)
- Interpretation: Advertising drives revenue
- Action: [Recommendation]
### Outliers
| Observation | X | Y | Reason |
|-------------|---|---|--------|
| Store #12 | Very high | Low | New location |
| Store #23 | Low | High | Prime location |
### Implications
1. [Implication 1]
2. [Implication 2]
Tips
- Check for causation vs correlation
- Identify and investigate outliers
- Consider non-linear relationships
- Segment data if patterns differ