Concept:The regression line of y on x minimises the sum of squared vertical deviations of data points from the line.Explanation:In regression of y on x, we predict y from x and minimise the errors in the y-direction (vertical distances).This is because the dependent variable y is assumed to have random error, while x is fixed.Minimising horizontal distances corresponds to regression of x on y.Answer:Option A is correct.