Solution:
a)Let us assume =a+bx be the linear equation.
where =dependent variable=Left arm, a=intercept,b=slope and x=independent variable=Right arm
Let us find the value of 'a' and 'b' using the below formula.
where n=5
The table below helps us to find the value of 'a' and 'b'.
Right arm(x) | Left arm(y) | x2 | y2 | xy |
102 | 174 | 10404 | 30276 | 17748 |
101 | 168 | 10201 | 28224 | 16968 |
93 | 142 | 8649 | 20164 | 13206 |
78 | 143 | 6084 | 20449 | 11154 |
78 | 143 | 6084 | 20449 | 11154 |
x=452 | y=770 | x2=41422 | y2=119562 | xy=70230 |
a=[(770*41422)-(452*70230)] / [(5*41422)-4522]
=150980/2806
=53.8
b=[(5*70230)-(452*770)]/ [(5*41422)-4522]
=3110/2806
=1.1
The regression equation is =53.8+1.1x
b)Given x=95 mm Hg
We need to find when x=95
So =53.8+(1.1*95)=158.3
Given that the systolic blood pressure in the right arm is 95 mm Hg, the best predicted systolic blood pressure in the left arm is 158.3 mm Hg
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Listed below we wystic wood pressure measurement in mind from the same woran Federgression equation, korting the mood grow.rebe the prior writtendre les predicted wood pressure Relea given that the store blood pressure in the night arms om all of Rig Arm 102 103 93 77 78 Lan Arm 170 145 144 Cick the icon to view the crices of the Pearson cometion coeficient The regression equation isy-O.DK Round to one decimal place as reded) Given that the systolic blood...
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