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 StatisticsVariableNMeanMedianTrMeanStDevSE Meanx115157.63157.73157.633.4560.892335x21562.2662.7662.261.3560.350118x315167.50166.50167.504.0551.046996VariableMinimumMaximumQ1Q3x1123179139.036166.522x2428747.98877.501x3121237143.387222.976Correlations (Pearson) x1x2x20.863 x30.8280.641Regression Analysis The regression equation is x1 = 0.858 + 0.812x2 + 0.528x3 PredictorCoefStDevTPConstant0.8580.7231.190.129x20.8120.7591.070.153x30.5280.4641.140.139S = 0.132R-sq = 96.1 %R-sq(adj) = 96.6 % Suppose a person's age is 55 and weight is 192. Predict his or her systolic blood pressure. Round your answer to one decimal place.answer choices:130.7146.9170.4203.6157.6

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Description: 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 f

The regression equation is x1 = 0.858 + 0.812x2 + 0.528x3 The systolic blood pressure of person having age is 55 and weight is 192 is obtained below: x1 = 0.858 + 0.812x2 + 0.528x3 =0.858+0.81255+0.528192=0.858+44.66+101.376=146.894≅146.9 Answer: Thus, the systolic blood pressure of person having age is 55 and weight is 192 is 146.9

Answered: The systolic blood pressure of…

MATLAB: An Introduction with Applications

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ISBN:9781119256830

Author:Amos Gilat

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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
x₁	15	157.63	157.73	157.63	3.456	0.892335
x₂	15	62.26	62.76	62.26	1.356	0.350118
x₃	15	167.50	166.50	167.50	4.055	1.046996

Variable	Minimum	Maximum	Q1	Q3
x₁	123	179	139.036	166.522
x₂	42	87	47.988	77.501
x₃	121	237	143.387	222.976

Correlations (Pearson)
	x₁	x₂
x₂	0.863
x₃	0.828	0.641

Regression Analysis

The regression equation is

x₁ = 0.858 + 0.812x₂ + 0.528x₃

Predictor	Coef	StDev	T	P
Constant	0.858	0.723	1.19	0.129
x₂	0.812	0.759	1.07	0.153
x₃	0.528	0.464	1.14	0.139
S = 0.132	R-sq = 96.1 %	R-sq(adj) = 96.6 %

Suppose a person's age is 55 and weight is 192. Predict his or her systolic blood pressure. Round your answer to one decimal place.

answer choices:

130.7

146.9

170.4

203.6

157.6

Definition Definition Middle value of a data set. The median divides a data set into two halves, and it also called the 50th percentile. The median is much less affected by outliers and skewed data than the mean. If the number of elements in a dataset is odd, then the middlemost element of the data arranged in ascending or descending order is the median. If the number of elements in the dataset is even, the average of the two central elements of the arranged data is the median of the set. For example, if a dataset has five items—12, 13, 21, 27, 31—the median is the third item in ascending order, or 21. If a dataset has six items—12, 13, 21, 27, 31, 33—the median is the average of the third (21) and fourth (27) items. It is calculated as follows: (21 + 27) / 2 = 24.

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