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Simple Linear Regression Analysis
Formula
Linear regression finds the best-fit straight line through a set of data points using the least squares method. The resulting equation y = a + bx can be used for prediction and understanding relationships between variables.
R-squared indicates how well the regression line fits the data, ranging from 0 (no fit) to 1 (perfect fit).
Common use cases:
- Trend analysis and forecasting
- Relationship between two variables
- Predictive modeling in business
Frequently Asked Questions
Dr. David Park
Applied Mathematician, PhD Mathematics
David holds a PhD in Applied Mathematics from MIT. He has published research on numerical methods and computational algorithms used in engineering and scientific calculators.
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