Data on 18 randomly selected athletes was obtained concerning their cardiovascular fitness (measured by time to exhaustion running on a treadmill) and performance in a 20-km ski race. Both variables were measured in minutes and a regression analysis was performed. Ski = 89 – 1.7 · Treadmill Coefficients Estimate Std. Error (Intercept) 89 0.79 Treadmill -1.7 0.82 Is there sufficient evidence to conclude that there is a linear relationship between cardiovascular fitness and ski race performance? (a). The test statistic is |(use four decimal places) (b). The p-value is (use two decimal places) (c). At the 10% significance level, we Select an answer v the null hypothesis and conclude that there is Select an answer v evidence to conclude that there is a linear relationship between cardiovascular fitness and ski race performance.
Data on 18 randomly selected athletes was obtained concerning their cardiovascular fitness (measured by time to exhaustion running on a treadmill) and performance in a 20-km ski race. Both variables were measured in minutes and a regression analysis was performed. Ski = 89 – 1.7 · Treadmill Coefficients Estimate Std. Error (Intercept) 89 0.79 Treadmill -1.7 0.82 Is there sufficient evidence to conclude that there is a linear relationship between cardiovascular fitness and ski race performance? (a). The test statistic is |(use four decimal places) (b). The p-value is (use two decimal places) (c). At the 10% significance level, we Select an answer v the null hypothesis and conclude that there is Select an answer v evidence to conclude that there is a linear relationship between cardiovascular fitness and ski race performance.
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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