b = n*(Exy) – (Ex)*(Ey) a = (1/n)*(Ey – b*Ex) n*(Ex^2) – (Ex)^2 where: b is the slope of the regression line a is the x-intercept of the regression line n is the number of points or ordered pairs Ex is the sum of the x values Ey is the sum of the y values Exy is the sum of the x*y products Ex^2 is the sum of the squared x values Slope = b = __________ (4 decimal places)
Added by Brandi H.
Step 1
Step 1: Compute the necessary sums from the data: - Ex = sum of all x values - Ey = sum of all y values - Exy = sum of the products x*y for all pairs - Ex^2 = sum of the squares of x values - n = number of points Show more…
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