Please help me answer the following question:

Question 1 Suppose we have 612 observations in our data, and for each we have recorded two numeric attributes, x and y. Sample average of x is 300 Sample average of y is 100 Sample variance of x is 14400 Sample variance of y is 40000 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 21600, then our correlation coefficient is closest to: 0 0.9 0-0.3 0-0.7 00.5 0-0.5 Again, suppose our sample covariance, Sxy, is 21600, then our regression line slope is closest to: 01.5 0 0.75 0 0.0075 0 0.0225 0 0.375 Again, suppose our sample covariance, Sxy, is 21600, then our regression line y-intercept is closest to: 0-125 093.25 O-350 097.75 0-12.5Again, suppose our sample covariance, sxy, is 21600, then the following scatterplot . . . yvsx 200 400 600 I 0 | -200 | 4300 I I D 200 400 600 X C] This type of data problem is unrelated to scatterplots C] None of these selections apply C] Could represent our data C] Not enough information to answer this question C] Could not represent our data