In: Statistics and Probability
Listed below are systolic blood pressure measurements (in mm Hg) obtained from the same woman. Find the regression equation, letting the right arm blood pressure be the predictor (x) variable. 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. Use a significance level of 0.05.
Right Arm | 102 | 101 | 93 | 78 | 78 |
Left Arm | 176 | 169 | 143 | 145 | 144 |
A) The regression equation is y = ____+____x
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 _____ mm Hg.
Solution:
From given data , we prepare a table.
X | Y | XY | X^2 | Y^2 |
102 | 176 | 17952 | 10404 | 30976 |
101 | 169 | 17069 | 10201 | 28561 |
93 | 143 | 13299 | 8649 | 20449 |
78 | 145 | 11310 | 6084 | 21025 |
n | 4 |
sum(XY) | 59630.00 |
sum(X) | 374.00 |
sum(Y) | 633.00 |
sum(X^2) | 35338.00 |
sum(Y^2) | 101011.00 |
Numerator | 1778.00 |
Denominator | 2225.30 |
r | 0.7990 |
r square | 0.6384 |
Xbar(mean) | 93.5000 |
Ybar(mean) | 158.2500 |
SD(X) | 9.6047 |
SD(Y) | 14.4806 |
b | 1.2046 |
a | 45.6192 |
A) Slope of the regression line is
b = 1.2046
Now , y intercept of the line is
a = 45.6192
The equation of the regression line is
= a + bx
Answer : = 45.6192 + 1.2046x
B) For x = 90 , find the predicted value of y .
Put x = 90 in the regression line equation.
= a + bx
= 45.6192 + (1.2046 * 90)
= 154.0332