The slope b₁ of the least squares line $\hat { y } = b _ { 0 } + b _ { 1 } x$ represents the: A) predicted 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 regression line.

Question

Quizplus · Accepted Answer

The slope b₁ of the least squares line represents the estimated average change in Y per unit change in X. This means that for every one unit increase in X, we can expect a change of b₁ units in Y.

The Slope B1 of the Least Squares Line y^=b0+b1x\hat { y } = b _ { 0 } + b _ { 1 } xy^​=b0​+b1​x

The Slope B₁ of the Least Squares Line $\hat { y } = b _ { 0 } + b _ { 1 } x$