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In the mathematical Equation of Linear Regression Y = β1 + β2X + ϵ, (β1, β2) refers to __________ (a) (X-intercept, Slope) (b) (Slope, X-Intercept) (c) (Y-Intercept, Slope) (d) (slope, Y-Intercept) I have been asked this question in homework. I want to ask this question from Linear Regression in division Commands, Packages, Visualizing Data and Linear Regression of R Programming Select the correct answer from above options

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Correct choice is (c) (Y-Intercept, Slope) To explain: Y-intercept is β1 and X-intercept is – (β1 / β2). Intercepts are defined for axis and formed when the coordinates are on the axis.

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