1. The ANOVA table given below summarizes some key results of the regression Y on four independent variables (X1, X2, X3, X4) Source DF Sum of Squares X1 1500 X2 | X1 200 X3 | X1, X2 100 X4 | X1, X2, X3 300 Error 20 500 Total 24 2600 . (5pts) Find the multiple correlation coefficient of Y on the three variables X1, X2 and X3. . (5pts) Determine the squared partial correlation coefficient TY X3|X1,X2. . (5pts) Determine the squared multiple partial correlation coefficient ry (X3, X4)|X1,X2 . (5pts) Test Ho : PY(X3,X4)|X1,X2 = 0 vs. Ha : PY(X3,X4)|X1,X2 # 0. Give your test statistic, its distribution under the null, and the rejection rule