Question 2 Suppose we have 427 observations in our data, and for each we have recorded two numeric attributes, x and y. Sample average of x is 0 Sample average of y is -100 Sample variance of x is 10000 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 -450, then our correlation coefficient is closest to: 0-0.9 00.3 0-0.3 0 0.9 Again, suppose our sample covariance, Sxy, is -450, then our regression line slope is closest to: O-0.45 0-1.8 O-0.045 0-0.009 0-0.9 Again, suppose our sample covariance, Sxy, is -450, then our regression line y-intercept is closest to: 0100 05000 0-300 0-100 0-30 Again, suppose our sample covariance, Sxy, is -450, then the following scatterplot . . . y vs x -85 -90 -95 O -115 -110 -105 -100 O -1500 -1000 -500 Could represent our data ONone of these selections apply This type of data problem is unrelated to scatterplots ONot enough information to answer this question Could not represent our data