Data on 12 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 = 87 1.6-Treadmill Coefficients Estimate Std. Error 0.5 (Intercept) Treadmill 1.03 87 -1.6 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 four decimal places) (c). At the 5% significance level, we [Select an answer the null hypothesis and conclude that there is Select an answer evidence to conclude that there is a linear relationship between cardiovascular fitness and ski race performance.
Data on 12 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 = 87 1.6-Treadmill Coefficients Estimate Std. Error 0.5 (Intercept) Treadmill 1.03 87 -1.6 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 four decimal places) (c). At the 5% significance level, we [Select an answer the null hypothesis and conclude that there is Select an answer evidence to conclude that there is a linear relationship between cardiovascular fitness and ski race performance.
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter4: Equations Of Linear Functions
Section4.6: Regression And Median-fit Lines
Problem 4GP
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Question
![Data on 12 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 = 87 1.6-Treadmill
Coefficients Estimate Std. Error
0.5
(Intercept)
Treadmill
1.03
87
-1.6
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 four decimal places)
(c). At the 5% significance level, we [Select an answer the null hypothesis and conclude that there is
Select an answer evidence to conclude that there is a linear relationship between cardiovascular
fitness and ski race performance.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Febc483d3-2de8-4fae-bef0-3b850e85efae%2F9745795a-513d-4e9a-8c85-77b6bae1ba1a%2Ffzyfly_processed.png&w=3840&q=75)
Transcribed Image Text:Data on 12 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 = 87 1.6-Treadmill
Coefficients Estimate Std. Error
0.5
(Intercept)
Treadmill
1.03
87
-1.6
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 four decimal places)
(c). At the 5% significance level, we [Select an answer the null hypothesis and conclude that there is
Select an answer evidence to conclude that there is a linear relationship between cardiovascular
fitness and ski race performance.
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