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 w read from a plot in the paper. X 390 760 780 840 1,035 1,190 1,240 1,290 1,410 y 3.90 4.10 5.00 5.30 4.10 3.60 6.20 6.98 7.45 5.05 Sxx = 2,679,530.357, Syy = 36.1227, Sxy= 7,357.932. 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. Ho: P = 0 Ha: p = 0 Ho: p = 0 r= Ha: p < 0 Ho: p= 0 Ha: p > 0 ⒸHO: P = 0 790 1,485 1,490 1,515 2,210 Ha: p = 0 Compute the value of the sample correlation coefficient, r. (Round your answer to four decimal places.) t= P-value = 7.70 4.35 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. Fail to 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 does not exist between maximum lactate level and muscular endurance. Reject Ho. A positive correlation exists 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.)

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 w read from a plot in the paper. X 390 760 780 840 1,035 1,190 1,240 1,290 1,410 y 3.90 4.10 5.00 5.30 4.10 3.60 6.20 6.98 7.45 5.05 Sxx = 2,679,530.357, Syy = 36.1227, Sxy= 7,357.932. 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. Ho: P = 0 Ha: p = 0 Ho: p = 0 r= Ha: p < 0 Ho: p= 0 Ha: p > 0 ⒸHO: P = 0 790 1,485 1,490 1,515 2,210 Ha: p = 0 Compute the value of the sample correlation coefficient, r. (Round your answer to four decimal places.) t= P-value = 7.70 4.35 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. Fail to 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 does not exist between maximum lactate level and muscular endurance. Reject Ho. A positive correlation exists 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.)

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter10: Statistics

Section10.1: Measures Of Center

Problem 9PPS

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