Q2. The Update to the Task Force Report on Blood Pressure Control in Children reported the observed average SBP in single years of age from age 1 to 17 based on prior studies. The data for boys of average SBP at each age are given in HW 5 data.sav on Blackboard. Suppose we seek a more efficient way to display the data and choose linear regression to accomplish this task. 1) Fit a regression line using age as independent variable and SBP as dependent variable. (The appropriate output is required here if you used software) 2) Interpret the regression equation. 3) Provide and interpret a 90% confidence interval for the parameters of the regression line. 4) Perform ANOVA test for the population slope. Use α = 0.05, and both rejection region and p- value to make a decision. 5) What the predicted (estimated) blood pressure on average is for a 10-year-old boy as estimated from the regression line? 6) Interpret R2. 7) Check the conditions for your regression analysis using the appropriate plots. Age (x) SBP(y) 1 99 2 102 3 105 4 107 5 108 6 110 7 111 8 112 9 114 10 115 11 117 12 120 13 122 14 125 15 127 16 130 17 132 I only need subsections 4-7. Thank you!
Q2. The Update to the Task Force Report on Blood Pressure Control in Children reported the observed
average SBP in single years of age from age 1 to 17 based on prior studies. The data for boys of average
SBP at each age are given in HW 5 data.sav on Blackboard. Suppose we seek a more efficient way to
display the data and choose linear regression to accomplish this task.
1) Fit a regression line using age as independent variable and SBP as dependent variable. (The
appropriate output is required here if you used software)
2) Interpret the regression equation.
3) Provide and interpret a 90% confidence interval for the parameters of the regression line.
4) Perform ANOVA test for the population slope. Use α = 0.05, and both rejection region and p-
value to make a decision.
5) What the predicted (estimated) blood pressure on average is for a 10-year-old boy as estimated
from the regression line?
6) Interpret R2.
7) Check the conditions for your
|
Age (x) |
SBP(y) |
|
1 |
99 |
|
2 |
102 |
|
3 |
105 |
|
4 |
107 |
|
5 |
108 |
|
6 |
110 |
|
7 |
111 |
|
8 |
112 |
|
9 |
114 |
|
10 |
115 |
|
11 |
117 |
|
12 |
120 |
|
13 |
122 |
|
14 |
125 |
|
15 |
127 |
|
16 |
130 |
|
17 |
132 |
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