Ordinary least squares estimators

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} .

 Ancestors (6)