Calculate R-squared using Regression Analysis
Introduction & Importance
R-squared, also known as the coefficient of determination, is a statistical measure that represents the proportion of the variance for a dependent variable that’s explained by an independent variable or variables in a regression model.
How to Use This Calculator
- Enter the values of X and Y.
- Enter the sample size (N).
- Click ‘Calculate’.
Formula & Methodology
The formula for R-squared is: R² = 1 – (SS_Res / SS_Tot)
Real-World Examples
Data & Statistics
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Expert Tips
- Understand the limitations of R-squared.
- Always check the assumptions of regression analysis.
Interactive FAQ
What is a good R-squared value?
A good R-squared value is typically considered to be 0.7 or higher, but this can vary depending on the context.
For more information, see Statistics How To and Penn State University.