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 15 154.14 154.34 154.14 3.842 0.992000 15 59.69 60.19 59.69 1.462 0.377487 15 205.55 204.75 205.55 4.558 1.176871 Variable Minimum Maximum 03 125 178 141.803 167.244 41 80 47.754 78.415 126 240 140.395 224.008 Correlations (Pearson) X2 0.892 0.839 10.567 Regression AnalysisThe 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 15 154.14 154.34 154.14 3.842 0.992000 15 59.69 60.19 59.69 1.462 0.377487 15 205.55 204.75 205.55 4.558 1.176871 Variable Minimum Maximum 03 125 178 141.803 167.244 41 80 47.754 78.415 126 240 140.395 224.008 Correlations (Pearson) X2 0.892 0.839 10.567 Regression AnalysisThe 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 15 154.14 154.34 154.14 3.842 0.992000 15 59.69 60.19 59.69 1.462 0.377487 15 205.55 204.75 205.55 4.558 1.176871 Variable Minimum Maximum 03 125 178 141.803 167.244 41 80 47.754 78.415 126 240 140.395 224.008 Correlations (Pearson) X2 0.892 0.839 10.567 Regression Analysis