The weight and systolic blood pressure of 26 randomly selected males in the age group 25 to 30 areshown in the table below. Assume that the weight and blood pressure are jointly normally distributedSystolic BP SubjectSubject1Weight165WeightSystolic BP1301417215321671331515912831801501616813241551281717414952121511818315861751461921515071901502019516382101402118015692002214312410149125240170111581332423516512169135251921601317015026187159a. Find a regression line relating systolic blood pressure to weightb. Test for significance of regression using a = 0.05c. Estimate the correlation coefficientO ay = 69.104 +0.419xRegression model is not significantr=0.77349O b.y = 69.104 + 0.419xRegression model is significantr=0.77349O c.y=-25.294 +1.426xRegression model is significantr=0.77349O d.y=5.50 +6.73xRegression model is significantr=0.77349O ey 69.104 + 0.419xRegression model is not significantr=0.5982148

Given: Total number of subjects(n)= 26 Subject Weight Systolic BP 1 165 130 2 167 133 3…

Answered: The weight and systolic blood pressure…

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 weight and systolic blood pressure of 26 randomly selected males in the age group 25 to 30 are shown in the table below. Assume that the weight and blood pressure are jointly normally distributed Systolic BP Subject Weight Systolic BP Subject 1 Weight 165 130 14 172 153 2 167 133 159 3 180 150 168 4 155 128 174 5 212 151 183 6 175 146 215 7 190 150 195 8 210 140 180 9 200 148 143 149 125 240 158 133 235 169 135 192 13 170 150 187 a. Find a regression line relating systolic blood pressure to weight b. Test for significance of regression using a = 0.05 c. Estimate the correlation coefficient O a.y = 5.50 +6.73x Regression model is significant r = 0.77349 O b.y = -25.294 + 1.426x Regression model is significant r=0.77349 Regression model is significant r=0.77349 Regression model is not significant r = 0.77349 O e.y = 69.104 + 0.419x Regression model is not significant r = 0.5982 2123 10 11 O c.y = 69.104 + 0.419x O d.y = 69.104 + 0.419x 561898NNINGS 17 20 21 22 23 24 25 26 128 132 149…
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