1. A student undertakes a project to determine the effect of carbon dioxide on respiration rate using the following methodology. A volunteer inhaled air from a bag containing a predetermined amount of carbon dioxide (with partial pressure measured in torr) and the number of breaths per minute was recorded. Her data are given below: Partial pressure CO2 (torr) Respiration rate (breaths/minute) 30 8.1 32 8.0 34 9.9 36 11.2 38 11.0 40 13.2 42 14.6 44 16.6 46 16.7 48 18.3 50 18.2 a). Construct a scatter plot of these data. Does there appear to be a linear relationship between the partial pressure of CO2 and respiration rate? b). Compute the linear regression equation so that Y may be predicted from X. c). Test the significant of this regression equation via ANOVA and t test with HO: B =0. d). Calculate the 95% confidence interval for slope B. e). Find the predicted respiration rate for a partial pressure of 38 torr (ûyx when X=38),. and the 95% confidence interval for this prediction. YIX
1. A student undertakes a project to determine the effect of carbon dioxide on respiration rate using the following methodology. A volunteer inhaled air from a bag containing a predetermined amount of carbon dioxide (with partial pressure measured in torr) and the number of breaths per minute was recorded. Her data are given below: Partial pressure CO2 (torr) Respiration rate (breaths/minute) 30 8.1 32 8.0 34 9.9 36 11.2 38 11.0 40 13.2 42 14.6 44 16.6 46 16.7 48 18.3 50 18.2 a). Construct a scatter plot of these data. Does there appear to be a linear relationship between the partial pressure of CO2 and respiration rate? b). Compute the linear regression equation so that Y may be predicted from X. c). Test the significant of this regression equation via ANOVA and t test with HO: B =0. d). Calculate the 95% confidence interval for slope B. e). Find the predicted respiration rate for a partial pressure of 38 torr (ûyx when X=38),. and the 95% confidence interval for this prediction. YIX
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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just parts d and e please

Transcribed Image Text:1. A student undertakes a project to determine the effect of carbon dioxide on respiration
rate using the following methodology. A volunteer inhaled air from a bag containing a
predetermined amount of carbon dioxide (with partial pressure measured in torr) and the
number of breaths per minute was recorded. Her data are given below:
Partial pressure CO2 (torr) Respiration rate (breaths/minute)
30
8.1
32
8.0
34
9.9
36
11.2
38
11.0
13.2
14.6
40
42
44
16.6
46
16.7
48
18.3
50
18.2
a). Construct a scatter plot of these data. Does there appear to be a linear relationship
between the partial pressure of CO2 and respiration rate?
b). Compute the linear regression equation so that Y may be predicted from X.
c). Test the significant of this regression equation via ANOVA and t test with HO: B =0.
d). Calculate the 95% confidence interval for slope B.
e). Find the predicted respiration rate for a partial pressure of 38 torr (ûy,x when X=38),
and the 95% confidence interval for this prediction.
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