Need help with the formula below (finding r)

nE(xy) - (Ex)(Zy) 1= VInEx 2 - (Ex ) 2 [ ncy2 - ([y) 2] OR, IF THAT IS NOT QUITE CLEAR IT IS: r = [ ne (X*Y) - (EX) * (EY) ]/ V {[nex2 - (EX)2 ] * [n EY2 - (EY) The "n" equals the number of data pairs (x,y), which is 10 in this case. 4) SHOW your setup in the equation and then calculate the resulting r: "Student Hours Final Points 1 10 65 THE FORMULA FOR A REGRESSION LINE IS: Y' = bX + a 2 20 85 Where Y' is the predicted point total based on the regression equation 3 12 70 which has a slope, "b", and a y-intercept, 4 25 93 5 15 75 HERE IS THE EQUATION: SLOPE (b) = E[ (x - Mx ) * (y - My) ]/ E(x - Mx )2 6 9 50 7 1. Calculate the MEAN (M) and the Standard Deviation (SD) for BOTH the x 22 90 and y values: 8 14 78 9 16 80 Mx = _15.3_; My =_78.5_; SDx = _5.197_; SDy = 13.735 10 10 99