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Green Belt: Regression Analysis
Finding Relationships
Find the best fit line using Least Squares. Understand how R² measures the explanatory power of your model.
Generator Parameters (True Relation)
Slope (m)1.0
How much does Y change for each X?
Noise / Error (ε)10
How much random scatter? (More noise = Lower R²)
Model Fit
Equation:y = 0.98x + 11
R²:0.956
Correlation vs Causation:
High R² only means X and Y move together. It does NOT prove distinct causation. Only DOE (Design of Experiments) can prove causation.