Options:A. (0.125,2.389)B. (1.207, 1.307)C. (0.396,2.118)D. (0.405,2.109)E. (0.144,2.370)

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 N Mean Median TrMean StDev SE Mean 15 54.14 154.34 54.14 3.842 .992000 15 59.69 60.19 $9.69 .462 ).377487 15 205.55 204.75 205.55 .558 1.176871 Variable Minimum Maximum Q1 Q3 12 141.803 67.244 41 80 47.754 78.415 126 240 140.395 224.008 Correlations (Pearson) 2 0.892 0.839 0.567 Regression Analysis The regression equation is x1 = 0.883 + 1.257x2 + 0.871x3 Predictor Loef StDev Constant 0.883 0.635 1.39 0.095 .257 0.635 .98 0.036 0.871 0.419 2.08 0.030 S = 0.428 -sq =92.7% R-sq(adj) = 92.8 % Find a 90% confidence interval for the coefficient of x2 in the regression equation