Suppose we have 378 observations in our data and for each we have recorded two numeric attributes x and y Sample average of x is 1000 Sample average of y is 100 Sample variance of x is 2500 Sample variance of y is 25 Note that our sample covariance is equal to the product of the correlation coefficient sample standard deviation of x and sample standard deviation of y i e Sxy xy Sx Sy Suppose our sample covariance sxy is 175 then our correlation coefficient is closest to Do D0 3 0 0 5 0 0 7 0 9 Again suppose our sample covariance sxy is 175 then our regression line slope is closest to D 0 014 2 8 0 042 0 1 4 D 0 07 Again suppose our sample covariance sxy is 175 then our regression line y intercept is closest to 142 0 114 D 1500 170 2900