The Y-intercept, b₀, of the least squares line $\tilde { y } = b _ { 0 } + b _ { 1 } x$ represents the: A)estimated average value of Y when X = 0. B)estimated average change in Y per unit change in X. C)predicted value of Y. D)variation around the sample regression line.

Question

Quizplus · Accepted Answer

The Y-intercept $b_0$ represents the estimated average value of Y when X = 0 in the least squares regression line equation.

The Y-Intercept, B0, of the Least Squares Line y~=b0+b1x\tilde { y } = b _ { 0 } + b _ { 1 } xy~​=b0​+b1​x

The Y-Intercept, B₀, of the Least Squares Line $\tilde { y } = b _ { 0 } + b _ { 1 } x$