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analysis which is used to find out the relationship between the two variables. The equation of the regression is given as y = a

+ bx where a is the intercept and b is the slope and the formula for a is given as a = [sigma (y) – b (sigma x)] / N and b = [N

sigma(xy) – (sigma x) (sigma y)] / [N sigma (x^2) – (sigma x) ^2].

equation.

Given that x values and y values. Now find out sigma (xy) and sigma (x^2), sigma x and sigma y and substitute all these values

in the a and b values then we will get them as a = 1.5 and b = 0.95 now the required regression equation is y = 1.5 + (0.95)x.

Given that x and y values. Now find out sigma x, sigma y, sigma x^2 and sigma xy and substitute all these values in a and b

then we will get them as a = 8.5 and b = -1.4. Now the required regression equation is 8.5 – (1.4) x.