Compute the missing entries in this partial computer output from a regression analysis. (Round your answers for the T-Value, R-sq(adj), and F-value to two decimal places and your answers for the sums of squares and mean squares to three decimal places.)

The regression equation is y = 8.13 + 7.602 X1 + 3.111 X2

Predictor Coef SE Coef T Constant 2.667 x1 2.105 x2 0.613 S = 3.35 R-sq = 92.30% R-sq(adj) = % R-sq(pred) = 85.12% Analysis of Variance Source DF SS MS F Regression 1612 Residual Error 12 Total (b) Use the F test and = 0.05 to see whether a significant relationship is present. State the null and alternative hypotheses. H0: 0 = 0 Ha: 0 0 H0: 0 0 Ha: 0 = 0 H0: One or more of the parameters is not equal to zero. Ha: 1 = 2 = 0 H0: 1 = 2 = 0 Ha: One or more of the parameters is not equal to zero. Find the value of the test statistic. (Round your answer to two decimal places.) Find the p-value. (Round your answer to three decimal places.) p-value = Is the relationship between x1, x2, and y significant?