Please help me answer the following:

Question 1 Suppose we have 681 opsewatl'ons in our data, and for each we have recorded two numeric attributes, X and 3:. Sample average of X is 30D Sample average of v is 30D Sample variance of): is 25013 Sample variance of v is 460130 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., 5w 2 g; sx s,Jr Suppose our sample covariance, s , is 9060, then our correlation coefficient is closest to: C] 43.9 C] D C] 0.3 [:1 43.? C] [19 W Again, suppose our sample covariance [:1 0.1354 C] [1018 [:1 0.9 C] 3.6 E] DDS , 53a\" is SQUID, then our regression line slope is closest to: Again, suppose our sample covariance, sw, is SQUID, then our regression line v'rntercept is closest to: 8294.6 C130 8283.8 C1380 DEE Again, suppose our sample covariance, Sxy, is 9000, then the following scatterplot . . . y vs x 800 600 400 200 -200 200 250 300 350 400 450 X Could not represent our data O Could represent our data ONone of these selections apply O This type of data problem is unrelated to scatterplots O Not enough information to answer this