Listed below are systolic blood pressure measurements (in mm Hg) obtained from the same woman. a) Find the regression equation, letting the right arm blood pressure be the predictor (x) variable. b) Find the best predicted systolic blood pressure in the left arm given that the systolic blood pressure in the right arm is 90 mm Hg. Right Arm 101 100 94 79 80 Left Arm 175 169 144 145 143 a) The regression equation is ModifyingAbove y with caret equalsnothingplusnothing x. (Round to one decimal place as needed.) b) Given that the systolic blood pressure in the right arm is 90 mm Hg, the best predicted systolic blood pressure in the left arm is nothing mm Hg.
X | Y | XY | X² | Y² |
101 | 175 | 17675 | 10201 | 30625 |
100 | 169 | 16900 | 10000 | 28561 |
94 | 144 | 13536 | 8836 | 20736 |
79 | 145 | 11455 | 6241 | 21025 |
80 | 143 | 11440 | 6400 | 20449 |
Ʃx = | 454 |
Ʃy = | 776 |
Ʃxy = | 71006 |
Ʃx² = | 41678 |
Ʃy² = | 121396 |
Sample size, n = | 5 |
x̅ = Ʃx/n = 454/5 = | 90.8 |
y̅ = Ʃy/n = 776/5 = | 155.2 |
SSxx = Ʃx² - (Ʃx)²/n = 41678 - (454)²/5 = | 454.8 |
SSyy = Ʃy² - (Ʃy)²/n = 121396 - (776)²/5 = | 960.8 |
SSxy = Ʃxy - (Ʃx)(Ʃy)/n = 71006 - (454)(776)/5 = | 545.2 |
Slope, b = SSxy/SSxx = 545.2/454.8 = 1.1987687
y-intercept, a = y̅ -b* x̅ = 155.2 - (1.19877)*90.8 = 46.351803
a) Regression equation :
ŷ = 46.4 + (1.2) x
b) Predicted value of y at x = 90
ŷ = 46.3518 + (1.1988) * 90 = 154.2
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