regression 2

Question 2 Suppose we have 498 observations in our data. and for each we have recorded two numeric attributes. x and v. Sample average of x is 0 Sample average of y is -1000 Sample variance of x is 14400 Sample variance of y is 2500 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., sW = rmr s,c sy Suppose our sample covariance, 53!\" is 0. then our correlation coefficient is closest to: C] 0.9 C] D C] -0.3 C] -0. 5 C] -0.9 Again, suppose our sample covariance. sxy, is 0, then our regression line slope is closest to: [3-10 C110 [:10 C13 [3-3 Again, suppose our sample covariance. sxy, is 0, then our regression line yintercept is closest to: C1100 C] 5000 C] -300 C] -30 C] -1 000 Again, suppose our sample covariance, Sxyl is 0, then the following scatterplot . . . .1000 50 ~90?! J50 4100 400 400 0 2m CITh is type of data problem is unrelated to scatterplots C] Could represent our data C] Not enough infom'lation to answer this question C] Could not represent our data C] None of these selections apply