Least Squares Regression Line Calculator

An online LSRL equation calculator to find the Least Squares Regression Line Equation. In statistics, least squares is a technique which is used to calculate a regression line (best fitting straight line with the given points) with the smallest value of the sum of residual squares. This Least Squares Regression Line calculator helps you to calculate the slope, Y-intercept and least square regression line equation from the given X and Y data pair co-ordinates.

LSRL Equation Calculation

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Y = LSRL Equation b = The slope of the regression line a = The intercept point of the regression line and the y axis. X̄ = Mean of x values Ȳ = Mean of y values SDx = Standard Deviation of x SDy = Standard Deviation of y r = (NΣxy - ΣxΣy) / sqrt ((NΣx2 - (Σx)2) x (NΣy)2 - (Σy)2)

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