2. 1 mark Which of the followin statement is correct? The sign (+ or -) of the correlation coefficient r is not necessarily the same as the slope of the least squares For a least squares regression, the distribution of the residuals depends on the Xvariable. - An outlier affects the position of the least squares regression line but it does not affect the correlation coefficient r For a least squares regression line, the sum of all the residuals is zero