answer and discuss properly HIn physiology, an objective measure of aerobic fitness is how efficiently the body canabsorb and use oxygen (oxygen consumption). A physiologist, Dr. Castillejo, conducted aresearch wherein subjects participated in a predetermined exercise run of 1.5 miles.Measurements of oxygen consumption as well as several other variables such as age,gender, runtime, resting and maximum pulse rates, and weight were recorded from 50randomly selected gym members. Dr. Castillejo is interested in determining whether anyof these other variables can help predict oxygen consumption. She believes that apossible link between these factors will help her determine how to improve the health ofher gym members.Help Dr. Castillejo in developing a proposal for the improvement of her gym members' health condition. Thevariables are described below.gender- either male or femaleruntime-time to run 1.5 miles (in min)age - age of the gym member in yearsweight - weight of the gym member (in kg)oxygen consumption - measure of the ability to use oxygen in the blood stream (in ml/min)rest pulse - resting pulse rate (in bpm)maximum pulse - maximum pulse rate during the run (in bpm) 6. Dr. Castillejo feels that maximum pulse rate during the run is a good predictor in explaining the oxygenconsumption in the blood stream. He asserts that if pulse rate at the end of the run increased, then theoxygen consumption will also increase, hence his/her heart is functioning well. Based on the Rcommander output below, check if the data on oxygen consumption and maximum pulse rate (from152bpm to 196 bpm) support Dr. Castillejo's assertion. Make sure to interpret all necessary estimates.Give the expected oxygen consumption if maximum pulse rate is 160 bpm. Also, provide a measure thatreports the adequacy of the model.R COMMANDER OUTPUT1m (formula oxygen.consumption maximum.pulse, data = aerobic)Coefficients:Estimate Std. Error t value Pr (>It|)(Intercept) 74.427034 0.309902 240.16maximum.pulse 0.132698 0.001774 74.81<2e-16 ***<2e-16 ***Signif. codes: 0 ***** 0.001 *** 0.01 0.05. 0.11Residual standard error: 0.1222 on 48 degrees of freedomMultiple R-squared: 0.9915, Adjusted R-squared: 0.9913F-statistic: 5597 on 1 and 48 DF, p-value: < 2.2e-16

Given information: Dependent variable=Oxygen consumptionIndependent variable=Maximum pulse rate…

R COMMANDER OUTPUT 1m (formula oxygen.consumption maximum.pulse, data = aerobic) Coefficients: Estimate Std. Error t value Pr (>1t|) (Intercept) 74.427034 0.309902 240.16 maximum.pulse 0.132698 0.001774 74.81 <2e-16 *** <2e-16 *** Signif. codes: 0 **** 0.001 **0.01 * 0.05. 0.1'' 1 Residual standard error: 0.1222 on 48 degrees of freedom Multiple R-squared: 0.9915, Adjusted R-squared: 0.9913 F-statistic: 5597 on 1 and 48 DF, p-value: < 2.2e-16

R COMMANDER OUTPUT 1m (formula oxygen.consumption maximum.pulse, data = aerobic) Coefficients: Estimate Std. Error t value Pr (>1t|) (Intercept) 74.427034 0.309902 240.16 maximum.pulse 0.132698 0.001774 74.81 <2e-16 * <2e-16 * Signif. codes: 0 ** 0.001 0.01 * 0.05. 0.1'' 1 Residual standard error: 0.1222 on 48 degrees of freedom Multiple R-squared: 0.9915, Adjusted R-squared: 0.9913 F-statistic: 5597 on 1 and 48 DF, p-value: < 2.2e-16

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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Question

answer and discuss properly

H
In physiology, an objective measure of aerobic fitness is how efficiently the body can
absorb and use oxygen (oxygen consumption). A physiologist, Dr. Castillejo, conducted a
research wherein subjects participated in a predetermined exercise run of 1.5 miles.
Measurements of oxygen consumption as well as several other variables such as age,
gender, runtime, resting and maximum pulse rates, and weight were recorded from 50
randomly selected gym members. Dr. Castillejo is interested in determining whether any
of these other variables can help predict oxygen consumption. She believes that a
possible link between these factors will help her determine how to improve the health of
her gym members.
Help Dr. Castillejo in developing a proposal for the improvement of her gym members' health condition. The
variables are described below.
gender- either male or female
runtime-time to run 1.5 miles (in min)
age - age of the gym member in years
weight - weight of the gym member (in kg)
oxygen consumption - measure of the ability to use oxygen in the blood stream (in ml/min)
rest pulse - resting pulse rate (in bpm)
maximum pulse - maximum pulse rate during the run (in bpm)

6. Dr. Castillejo feels that maximum pulse rate during the run is a good predictor in explaining the oxygen
consumption in the blood stream. He asserts that if pulse rate at the end of the run increased, then the
oxygen consumption will also increase, hence his/her heart is functioning well. Based on the R
commander output below, check if the data on oxygen consumption and maximum pulse rate (from
152bpm to 196 bpm) support Dr. Castillejo's assertion. Make sure to interpret all necessary estimates.
Give the expected oxygen consumption if maximum pulse rate is 160 bpm. Also, provide a measure that
reports the adequacy of the model.
R COMMANDER OUTPUT
1m (formula oxygen.consumption maximum.pulse, data = aerobic)
Coefficients:
Estimate Std. Error t value Pr (>It|)
(Intercept) 74.427034 0.309902 240.16
maximum.pulse 0.132698 0.001774 74.81
<2e-16 ***
<2e-16 ***
Signif. codes: 0 ***** 0.001 *** 0.01 0.05. 0.11
Residual standard error: 0.1222 on 48 degrees of freedom
Multiple R-squared: 0.9915, Adjusted R-squared: 0.9913
F-statistic: 5597 on 1 and 48 DF, p-value: < 2.2e-16

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