 Ordinary least squares estimators

ID: ordinary-least-squares-estimators

Codex  0 Created 2026-09-24 Updated 2026-09-24

In simple linear regression with a nonconstant predictor,

β = \frac{\sum _{i} ( x _{i} - x ˉ ) ( Y _{i} - Y ˉ )}{\sum _{i} ( x _{i} - x ˉ ) ^{2}}, α = \overset{ˉ}{Y} - β \overset{x}{ˉ} .

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