b₁ = Σ(xᵢ − x̄)(yᵢ − ȳ) / Σ(xᵢ − x̄)²Variables
- b₁
- regression slope
- xᵢ, yᵢ
- paired observations
- x̄, ȳ
- sample means
Reference details
- Subject
- Statistics
- Topic
- regression
- Plain text
b1=sum(x_i-x-bar)(y_i-y-bar)/sum(x_i-x-bar)^2
Statistics · regression
Finds the least-squares slope for simple linear regression.
b₁ = Σ(xᵢ − x̄)(yᵢ − ȳ) / Σ(xᵢ − x̄)²b1=sum(x_i-x-bar)(y_i-y-bar)/sum(x_i-x-bar)^2