The authors of a paper presented a correlation analysis to investigate the relationship between maximal lactate level x and muscular endurance y. The accompanying data was read from a plot in the paper. 1,410 1,465 1,470 1,515 2,190 x 390 740 760 810 860 1,035 1,190 1,240 1,290 у 3.90 4.10 4.80 5.10 3.90 3.60 6.20 6.78 7.65 4.85 7.90 4.35 6.70 9.00 S = 2,619,058.929, S = 39.0467, S xx yy 7,588.061. A scatter plot shows a linear pattern. ху (a) Test to see whether there is a positive correlation between maximal lactate level and muscular endurance in the population from which this data was selected. (Use α = 0.05.) State the appropriate null and alternative hypotheses. O Ho: P = 0 H₂: p<0 Hop #0 H₂ip=0 H₂: p# 0 Ho p=0 Ha: p > 0 Compute the value of the sample correlation coefficient, r. (Round your answer to four decimal places.) Calculate the test statistic and determine the P-value. (Round your test statistic to one decimal place and your P-value to three decimal places.) t P-value = State the conclusion in the problem context. O Reject Ho. A positive correlation does not exist between maximum lactate level and muscular endurance. Fail to reject Ho. A positive correlation exists between maximum lactate level and muscular endurance. Reject Ho. A positive correlation exists between maximum lactate level and muscular endurance. Fail to reject Ho. A positive correlation does not exist between maximum lactate level and muscular endurance. (b) If a regression analysis were to be carried out to predict endurance from lactate level, what proportion of observed variation in endurance could be attributed to the approximate linear relationship? Answer the question without doing any regression calculations. (Round your answer to four decimal places.) If a regression analysis were to be carried out to predict lactate level from endurance, what proportion of observed variation in endurance could be attributed to the approximate linear relationship? Answer the question without doing any regression calculations. (Round your answer to four decimal places.)

Engineering Fundamentals: An Introduction to Engineering (MindTap Course List)
5th Edition
ISBN:9781305084766
Author:Saeed Moaveni
Publisher:Saeed Moaveni
Chapter19: Probability And Statistics In Engineering
Section: Chapter Questions
Problem 3P: For Problem 19.1, using Equations (19.1) and (19.6), calculate the mean and standard deviation of...
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The authors of a paper presented a correlation analysis to investigate the relationship between maximal lactate level x and muscular endurance y. The accompanying data was read from a plot in the paper.
1,410 1,465 1,470 1,515 2,190
x
390 740 760 810 860 1,035
1,190
1,240
1,290
у
3.90 4.10 4.80 5.10 3.90
3.60
6.20
6.78
7.65
4.85
7.90
4.35 6.70
9.00
S
=
2,619,058.929, S
= 39.0467, S
xx
yy
7,588.061. A scatter plot shows a linear pattern.
ху
(a) Test to see whether there is a positive correlation between maximal lactate level and muscular endurance in the population from which this data was selected. (Use α = 0.05.)
State the appropriate null and alternative hypotheses.
O Ho: P = 0
H₂: p<0
Hop #0
H₂ip=0
H₂: p# 0
Ho p=0
Ha: p > 0
Compute the value of the sample correlation coefficient, r. (Round your answer to four decimal places.)
Calculate the test statistic and determine the P-value. (Round your test statistic to one decimal place and your P-value to three decimal places.)
t
P-value =
State the conclusion in the problem context.
O Reject Ho. A positive correlation does not exist between maximum lactate level and muscular endurance.
Fail to reject Ho. A positive correlation exists between maximum lactate level and muscular endurance.
Reject Ho. A positive correlation exists between maximum lactate level and muscular endurance.
Fail to reject Ho. A positive correlation does not exist between maximum lactate level and muscular endurance.
(b) If a regression analysis were to be carried out to predict endurance from lactate level, what proportion of observed variation in endurance could be attributed to the approximate linear relationship? Answer the question without doing any regression calculations. (Round your answer to four decimal places.)
If a regression analysis were to be carried out to predict lactate level from endurance, what proportion of observed variation in endurance could be attributed to the approximate linear relationship? Answer the question without doing any regression calculations. (Round your answer to four decimal places.)
Transcribed Image Text:The authors of a paper presented a correlation analysis to investigate the relationship between maximal lactate level x and muscular endurance y. The accompanying data was read from a plot in the paper. 1,410 1,465 1,470 1,515 2,190 x 390 740 760 810 860 1,035 1,190 1,240 1,290 у 3.90 4.10 4.80 5.10 3.90 3.60 6.20 6.78 7.65 4.85 7.90 4.35 6.70 9.00 S = 2,619,058.929, S = 39.0467, S xx yy 7,588.061. A scatter plot shows a linear pattern. ху (a) Test to see whether there is a positive correlation between maximal lactate level and muscular endurance in the population from which this data was selected. (Use α = 0.05.) State the appropriate null and alternative hypotheses. O Ho: P = 0 H₂: p<0 Hop #0 H₂ip=0 H₂: p# 0 Ho p=0 Ha: p > 0 Compute the value of the sample correlation coefficient, r. (Round your answer to four decimal places.) Calculate the test statistic and determine the P-value. (Round your test statistic to one decimal place and your P-value to three decimal places.) t P-value = State the conclusion in the problem context. O Reject Ho. A positive correlation does not exist between maximum lactate level and muscular endurance. Fail to reject Ho. A positive correlation exists between maximum lactate level and muscular endurance. Reject Ho. A positive correlation exists between maximum lactate level and muscular endurance. Fail to reject Ho. A positive correlation does not exist between maximum lactate level and muscular endurance. (b) If a regression analysis were to be carried out to predict endurance from lactate level, what proportion of observed variation in endurance could be attributed to the approximate linear relationship? Answer the question without doing any regression calculations. (Round your answer to four decimal places.) If a regression analysis were to be carried out to predict lactate level from endurance, what proportion of observed variation in endurance could be attributed to the approximate linear relationship? Answer the question without doing any regression calculations. (Round your answer to four decimal places.)
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