Data on 12 randomly selected athletes was obtained concerning their cardiovascular fitness (measured bytime to exhaustion running on a treadmill) and performance in a 20-km ski race. Both variables weremeasured in minutes and a regression analysis was performed.Ski = 87 1.6-TreadmillCoefficients Estimate Std. Error0.5(Intercept)Treadmill1.0387-1.6Is there sufficient evidence to conclude that there is a linear relationship between cardiovascular fitnessand 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 isSelect an answer evidence to conclude that there is a linear relationship between cardiovascularfitness and ski race performance.

It is given that Ski = 87 - 1.6Treadmill sample size n = 12 Level of significance = 5%…

Answered: Data on 12 randomly selected athletes…

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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Find the equation of the regression line for the following data set. x 1 2 3 y 0 3 4
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Data on 17 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 = 86 2.4 treadmill Coefficients Estimate (Intercept) Treadmill 86 -2.4 Std. Error 0.26 0.86 Is there sufficient evidence to conclude that there is a linear relationship between cardiovascular fitness and ski race performance? Round your answers to three decimal places. What is the test statistic?
Data on 19 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 2.1 Treadmill Coefficients (Intercept) Treadmill Estimate Std. Error 0.39 3.68 89 -2.1 Is there sufficient evidence to conclude that there is a linear relationship between cardiovascular fitness and ski race performance? (a). The test statistic is (b). The p-value is (use four decimal places) (use four decimal places) (c). At the 2% significance level, we fail to reject is insufficient cardiovascular fitness and ski race performance. the null hypothesis and conclude that there o evidence to conclude that there is a linear relationship between
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 85 2.5 treadmill Coefficients Estimate Std. Error (Intercept) 85 Treadmill -2.5 0.45 What is the test statistic? -2.5 1 Is there sufficient evidence to conclude that there is a linear relationship between cardiovascular fitness and ski race performance? Round your answers to three decimal places. Using your answer from the previous question, find the p-value. 0.0295 X Part 2 of
The fish in my pond have mean length of 10.78 inches and mean weight 4.27 pounds. The correlation coefficient of length and weight is .63. If the length of a particular randomly selected fish is reported to be 10.78 inches, then what should we predict for the weight of that fish using simple linear regression?
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