📖 Overview
Use this Coefficient Of Determination Calculator (R-Squared) to run the core math with transparent assumptions and quick interpretation-ready results.
🧪 Example Scenarios
Use these default and higher-pressure example inputs to explore how sensitive this calculator is before using your real numbers.
| Input | Base Case | Higher Pressure Case |
|---|---|---|
| SSE (Sum Squared Error) | 120 | 138 |
| SST (Total Sum Squares) | 480 | 552 |
| Sample Size (n) | 60 | 69 |
| Number Of Predictors | 3 | 3.45 |
| Residual For A Point | -1.8 | -2.07 |
⚙️ How It Works
This calculator applies a direct math model based on the inputs above.
💡This calculator is scenario-based. Better input quality leads to better decision quality.
Quick Reference
| Input | Example Value |
|---|---|
| SSE (Sum Squared Error) | 120 |
| SST (Total Sum Squares) | 480 |
| Sample Size (n) | 60 |
| Number Of Predictors | 3 |
| Residual For A Point | -1.8 |
When To Use This
- Use this tool when you need a fast decision during active planning or execution.
- Use this before committing money, time, or tradeoffs that are hard to reverse.
- Use this to compare options using the same assumptions across scenarios.
Edge Cases To Watch
- Results can be misleading if key inputs are missing, stale, or unrealistic.
- Very small or very large values may amplify rounding effects and interpretation risk.
- If assumptions change mid-decision, recalculate before acting.
Practical Tips
💡 Validate units before comparing scenarios.
💡 Run multiple values to understand sensitivity.
💡 Use outputs as estimates, not guarantees.
Frequently Asked Questions
❓ Is this output exact?
It is a fast estimate based on provided inputs and model assumptions.
❓ Can I compare different scenarios?
Yes, this tool is designed for quick side-by-side checks.