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 (>|t|) (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: F-statistic: 5597 on 1 and 48 DF, p-value: < 2.2e-16 0.9913
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 (>|t|) (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: F-statistic: 5597 on 1 and 48 DF, p-value: < 2.2e-16 0.9913
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.6: Summarizing Categorical Data
Problem 26PPS
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