Choices:A. 88.5 %B. 96.6 %C. 85.5 %D. 93.8 %E. 68.1 %

The systolic blood pressure of individuals is thought to be related to both age and weight. Let the systolic blood pressure, age, and weight be represented by the variables x1, x2, and x3, respectively. Suppose that Minitab was used to generate the following descriptive statistics, correlations, and regression analysis for a random sample of 15 individuals. Descriptive Statistics Variable Mean Median TrMean StDev SE Mean 15 157.77 158.27 157.77 .865 0.997939 5.94 56.34 $5.94 552 ).400725 15 177.11 176.41 177.11 4.125 .065070 Variable Minimum Maximum IC Q3 128 40.378 167.716 44 83 47.594 17.730 123 236 143.057 223.140 Correlations (Pearson) 2 0.855 0.885 0.681 Regression Analysis The regression equation is x1 = 0.557 + 1.117x2 + 0.808x3 Predictor Coef StDev Constant 0.557 0.383 1.45 0.086 117 ).753 .48 0.082 ).808 .343 2.36 0.018 S = 0.142 -sq = 96.6 % R-sq(adj) = 93.8% What percentage of the variation in x1 can be explained by the corresponding variations in x2 and x3 taken together