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Mean call-to-shock time, 26 79 12 Survival rate, y 91 44 32 44 LA USE SALT (a) Construct a scatterplot for these data 10 12 10 10 12 100 How would you describe the relationship between mean call-to-shock time and survival rate? There is a strong positive relationship. The relationship is close to being linear, particularly if the point with the lowest value is disregarded. If that point is included then there is the suggestion of a curve There is a strong negative relationship. The relationship is close to being linear particularly if the point with the lowest value is disregarded. If that point is included then there is the suggestion of a curve There is a strong positive relationship. The relationship is close to being linear, particularly if the point with the highest value is disregarded. If that point is included then there is the suggestion of a curve There is a strong negative relationship. The relationship is close to being linear particularly if the point with the highest value is disregarded. If that point is included then there is the suggestion of a curve (b) Find the equation of the least-squares ine. (Round your values to four decimal places) (c) Use the least squares line to predict survival rate for a community with a ean call-to-shock time of 8 minutes. (Round your answer to three decimal places)

Mean call-to-shock time, 26 79 12 Survival rate, y 91 44 32 44 LA USE SALT (a) Construct a scatterplot for these data 10 12 10 10 12 100 How would you describe the relationship between mean call-to-shock time and survival rate? There is a strong positive relationship. The relationship is close to being linear, particularly if the point with the lowest value is disregarded. If that point is included then there is the suggestion of a curve There is a strong negative relationship. The relationship is close to being linear particularly if the point with the lowest value is disregarded. If that point is included then there is the suggestion of a curve There is a strong positive relationship. The relationship is close to being linear, particularly if the point with the highest value is disregarded. If that point is included then there is the suggestion of a curve There is a strong negative relationship. The relationship is close to being linear particularly if the point with the highest value is disregarded. If that point is included then there is the suggestion of a curve (b) Find the equation of the least-squares ine. (Round your values to four decimal places) (c) Use the least squares line to predict survival rate for a community with a ean call-to-shock time of 8 minutes. (Round your answer to three decimal places)

MATLAB: An Introduction with Applications
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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Studies have shown that people who suffer sudden cardiac arrest have a better chance of survival if a defibrillator shock is administered very soon after cardiac arrest. How is survival rate related to the time between when cardiac arrest occurs and when the defibrilator shock is delivered? The accompanying data give y survival rate (percent) and x mean call-to-shock time (minutes) for a cardiac rehabilitation center (in which cardiac arrests occurred while victims were hospitalized and so the cal-to-shock time tended to be short) and for four communities of different sizes. LA USE SALT (a) Construct a scatterplot for these data. 12 10 100 BO 60 Mean call-to-shock time, x 26 79 12 Survival rate, y 20 10 100 8 10 12 100 80 60 40 20 12 10 8 4 2 4 40 6 11 10 12 80 100 How would you describe the relationship between mean call-to-shock time and survival rate? There is a strong positive relationship. The relationship is close to being linear, particularly if the point with the lowest * value is disregarded. If that point is included then there is the suggestion of a curve. (b) Find the equation of the least-squares line. (Round your values to four decimal places.) 9- There is a strong negative relationship. The relationship is close to being linear, particularly if the point with the lowest x value is disregarded. If that point is included then there is the suggestion of a curve. There is a strong positive relationship. The relationship is close to being linear, particularly if the point with the highest x value is disregarded. If that point is included then there is the suggestion of a curve There is a strong negative relationship. The relationship is close to being linear, particularly if the point with the highest value is disregarded. If that point is included then there is the suggestion of a curve (c) Use the least squares line to predict survival rate for a community with a mean call-to-shock time of 8 minutes. (Round your answer to three decimal places)
Transcribed Image Text:Studies have shown that people who suffer sudden cardiac arrest have a better chance of survival if a defibrillator shock is administered very soon after cardiac arrest. How is survival rate related to the time between when cardiac arrest occurs and when the defibrilator shock is delivered? The accompanying data give y survival rate (percent) and x mean call-to-shock time (minutes) for a cardiac rehabilitation center (in which cardiac arrests occurred while victims were hospitalized and so the cal-to-shock time tended to be short) and for four communities of different sizes. LA USE SALT (a) Construct a scatterplot for these data. 12 10 100 BO 60 Mean call-to-shock time, x 26 79 12 Survival rate, y 20 10 100 8 10 12 100 80 60 40 20 12 10 8 4 2 4 40 6 11 10 12 80 100 How would you describe the relationship between mean call-to-shock time and survival rate? There is a strong positive relationship. The relationship is close to being linear, particularly if the point with the lowest * value is disregarded. If that point is included then there is the suggestion of a curve. (b) Find the equation of the least-squares line. (Round your values to four decimal places.) 9- There is a strong negative relationship. The relationship is close to being linear, particularly if the point with the lowest x value is disregarded. If that point is included then there is the suggestion of a curve. There is a strong positive relationship. The relationship is close to being linear, particularly if the point with the highest x value is disregarded. If that point is included then there is the suggestion of a curve There is a strong negative relationship. The relationship is close to being linear, particularly if the point with the highest value is disregarded. If that point is included then there is the suggestion of a curve (c) Use the least squares line to predict survival rate for a community with a mean call-to-shock time of 8 minutes. (Round your answer to three decimal places)
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