In: Statistics and Probability
Blood pressure: A blood pressure measurement consists of two numbers: the systolic pressure, which is the maximum pressure taken when the heart is contracting, and the diastolic pressure, which is the minimum pressure taken at the beginning of the heartbeat. Blood pressures were measured, in millimeters, for a sample of 7 adults. The following table presents the results. The least-squares regression line =y=+b0b1x+24.83840.4499x, =se7.161065, =Σ−xx2407.43, and x=120.71 are known for this data.
Systolic | Diastolic |
112 |
75 |
118 |
88 |
130 |
76 |
123 |
77 |
116 |
70 |
133 |
91 |
113 |
77 |
1.)Construct a 90% prediction interval for the diastolic pressure of a particular person whose systolic pressure is 120. Round your answer to at least three decimal places.
A 90%prediction interval for the
diastolic pressure of a particular person whose systolic pressure
is 120 is ( , ) . |
X Value= 120
Confidence Level= 90%
Sample Size , n= 7
Degrees of Freedom,df=n-2 = 5
critical t Value=tα/2 = 2.015 [excel
function: =t.inv.2t(α/2,df) ]
X̅ = 120.71
Σ(x-x̅)² =Sxx 407
Standard Error of the Estimate,Se= 7.1611
Predicted Y at X= 120 is
Ŷ = 24.8384 +
0.4499 * 120 =
78.822
For Individual Response Y
standard error, S(ŷ)=Se*√(1+1/n+(X-X̅)²/Sxx) =
7.6597
margin of error,E=t*std error=t*S(ŷ)=
2.0150 * 7.66 =
15.4347
Prediction Interval Lower Limit=Ŷ -E =
78.822 - 15.43 =
63.387
Prediction Interval Upper Limit=Ŷ +E =
78.822 + 15.43 =
94.256
A 90%prediction interval for the diastolic pressure of a particular person whose systolic pressure is 120 is (63.387 , 94.256)