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 Meanx115154.14154.34154.143.8420.992000x21559.6960.1959.691.4620.377487x315205.55204.75205.554.5581.176871VariableMinimumMaximumQ1Q3x1125178141.803167.244x2418047.75478.415x3126240140.395224.008Correlations (Pearson) x1x2x20.892 x30.8390.567Regression Analysis The regression equation is x1 = 0.883 + 1.257x2 + 0.871x3 PredictorCoefStDevTPConstant0.8830.6351.390.095x21.2570.6351.980.036x30.8710.4192.080.030S = 0.428R-sq = 92.7 %R-sq(adj) = 92.8 % Find a 90% confidence interval for the coefficient of x2 in the regression equation. Round your final answers to three decimal places.Group of answer choices (0.405, 2.109)(0.396, 2.118)(0.144, 2.370)(0.125, 2.389)(1.207, 1.307)

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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

Coefficient of x2 = 1.257 Standard error of x2 = 0.635 t-critical value at df = 12 and alpha(0.1) is…

Answered: Find a 90% confidence interval for…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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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	154.14	154.34	154.14	3.842	0.992000
x₂	15	59.69	60.19	59.69	1.462	0.377487
x₃	15	205.55	204.75	205.55	4.558	1.176871

Variable	Minimum	Maximum	Q1	Q3
x₁	125	178	141.803	167.244
x₂	41	80	47.754	78.415
x₃	126	240	140.395	224.008

Correlations (Pearson)
	x₁	x₂
x₂	0.892
x₃	0.839	0.567

Regression Analysis

The regression equation is

x₁ = 0.883 + 1.257x₂ + 0.871x₃

Predictor	Coef	StDev	T	P
Constant	0.883	0.635	1.39	0.095
x₂	1.257	0.635	1.98	0.036
x₃	0.871	0.419	2.08	0.030
S = 0.428	R-sq = 92.7 %	R-sq(adj) = 92.8 %

Find a 90% confidence interval for the coefficient of x2 in the regression equation. Round your final answers to three decimal places.

Group of answer choices

(0.405, 2.109)

(0.396, 2.118)

(0.144, 2.370)

(0.125, 2.389)

(1.207, 1.307)

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