Please help me answer the following question:

Question 2 Suppose we have 505 observations in our data, and for each we have recorded two numeric attributes, x and 3:. Sample average of x is 0 Sample average of v is 500 Sample variance of): is 2500 Sample variance ofv is 10000 Note that our sample covariance is equal to the product of the correlation coefficient, sample standard deviation of x and sample standard deviation of v, i_e_, s1W = [xv sx s,\"r Suppose our sample covariance, s is 4500, then our correlation coefcient is closest to: [:1 0.3 [:1 0.3 [:1 0.5 C] 0 [:1 0.5 w: Again, suppose our sample covariance, s I? [:1 0.01 8 C] 0.5 [:1 0.03 [:1 31.2 [:1 0.3 , is 4500, then our regression line slope is closest to: Again, suppose our sample covariance, sw, is 4500, then our regression line vintercept is closest to: [:1 3 00 [:1 500 C1100 [:1 5000 [:1 30 Again, suppose our sample covariance, Sxy, is -1500, then the following scatterplot . . . y vs x O C O -800 -700 -600 -500 -400 -300 -200 O O -600 -400 -200 0 200 X None of these selections apply Could not represent our data This type of data problem is unrelated to scatterplots O Could represent our data ONot enough information to answer this