Covariance Calculator
Statistical Analysis
Covariance: 0
Correlation: 0
Relationship: -
| Measure | X Variable | Y Variable |
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Understanding Covariance
Covariance measures how two variables change together. A positive covariance indicates that variables tend to move in the same direction, while a negative covariance suggests opposite movement.
Key Concepts
Statistical Measures
- Covariance
- Correlation
- Standard Deviation
- Mean Values
- Linear Relationships
Interpretation Guide
- Positive Covariance: Variables move together
- Negative Covariance: Variables move oppositely
- Zero Covariance: No linear relationship
- Correlation Scale: -1 to +1
- Strength Assessment
Frequently Asked Questions
What's the difference between covariance and correlation?
Covariance measures the direction of the linear relationship, while correlation also accounts for the strength and is standardized between -1 and +1.
When should I use covariance?
Use covariance to understand how variables move together, but prefer correlation for comparing different pairs of variables since it's standardized.
What does a zero covariance mean?
Zero covariance indicates no linear relationship between variables, though nonlinear relationships may exist.
Statistical Disclaimer
This calculator provides basic statistical analysis. For professional applications or critical decisions, consult with a statistics expert.