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…

Answered: The systolic blood pressure of…

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter4: Equations Of Linear Functions

Section4.5: Correlation And Causation

Problem 2AGP

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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

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