Loading...
Loading...
Visualize relationships between two variables. Use for correlation analysis and pattern identification.
npx skill4agent add linuszz/business-strategy-planning-skills scatter-graphs| 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 |
Strong Positive (r > 0.7):
│ •
│ • •
│ • •
│• •
└──────
No Correlation (r ≈ 0):
│ • •
│ • •
│ • •
│ • •
└──────## 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]