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 100 99 91 80 81 D Left Arm 175 168 179 147 146 E Click the icon to view the critical values of the Pearson correlation coefficient r The regression equation is y = 40.2 + 1.4 x. (Round to one decimal place as needed.) 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 (Round to one decimal place as needed.)
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 100 99 91 80 81 D Left Arm 175 168 179 147 146 E Click the icon to view the critical values of the Pearson correlation coefficient r The regression equation is y = 40.2 + 1.4 x. (Round to one decimal place as needed.) 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 (Round to one decimal place as needed.)
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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I need help with this last part of this exercise.
![**Systolic Blood Pressure Regression Analysis**
Listed below are systolic blood pressure measurements (in mm Hg) obtained from the same woman. The goal is to find the regression equation, using the blood pressure in the right arm as the predictor (x) variable. We aim to 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. A significance level of 0.05 is used in this analysis.
| Right Arm | Left Arm |
|-----------|----------|
| 100 | 175 |
| 99 | 168 |
| 91 | 179 |
| 80 | 147 |
| 81 | 146 |
To determine the correlation, you can view the critical values for the Pearson correlation coefficient \( r \).
**Regression Equation**
The regression equation is given by:
\[ \hat{y} = 40.2 + 1.4x \]
(Note: Round to one decimal place as necessary.)
**Prediction**
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. (Round to one decimal place as needed.)](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fd738ea4e-7dd9-4a93-94a4-9a76a5585029%2Fafbfd6f4-c28f-4bc1-b848-5fed1015445a%2F54vqqs_processed.jpeg&w=3840&q=75)
Transcribed Image Text:**Systolic Blood Pressure Regression Analysis**
Listed below are systolic blood pressure measurements (in mm Hg) obtained from the same woman. The goal is to find the regression equation, using the blood pressure in the right arm as the predictor (x) variable. We aim to 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. A significance level of 0.05 is used in this analysis.
| Right Arm | Left Arm |
|-----------|----------|
| 100 | 175 |
| 99 | 168 |
| 91 | 179 |
| 80 | 147 |
| 81 | 146 |
To determine the correlation, you can view the critical values for the Pearson correlation coefficient \( r \).
**Regression Equation**
The regression equation is given by:
\[ \hat{y} = 40.2 + 1.4x \]
(Note: Round to one decimal place as necessary.)
**Prediction**
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. (Round to one decimal place as needed.)
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