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 pape x 390 740 780 790 y 3.90 4.10 5.00 5.30 4.10 3.60 6.20 6.78 H₂:p> 0 OH: PO H₂: p=0 O Ho: P = 0 H₂: P<0 O Ho: P = 0 H₂: P = 0 r = 860 1,035 1,190 1,240 xx=2,626,273.214, Syy = 37.2441, Sxy=7,371.232. A scatter plot shows a linear pattern. (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 a = 0.05.) State the appropriate null and alternative hypotheses. O Ho: P = 0 1,310 1,390 t = 7.65 P-value= 5.05 1,465 1,490 1,515 2,190 7.90 4.35 Compute the value of the sample correlation coefficient, r. (Round your answer to four decimal places.) 6.50 9.00 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.) State the conclusion in the problem context. O Reject Ho. A positive correlation does not exist between maximum lactate level and muscular endurance. O Fail to reject Ho. A positive correlation exists between maximum lactate level and muscular endurance. O Reject Ho. A positive correlation exists between maximum lactate level and muscular endurance. O 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? A 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? A

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