What are the hypotheses for testing to see if a correlation is statistically significant? Hor=0: H₁r0 Ho: p = 0; H₁p0 Ho: p = ±1; H₁ :p #±1 Ho: p = 0; H₁ p = 1 Ho: r = ±1; H₁: r#±1

A correlation coefficient close to _____ indicates no relationship between the variables:     0.00     -1.00     1.00     0.50

..Which of the following values could not represent a correlation coefficient? r= 0.98r = 1.09r = -.075r = -1.0

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. X 410 760 760 y 3.90 3.90 4.80 5.30 4.10 3.40 State the appropriate null and alternative hypotheses. | Ho: p = 0 Ha: p > 0 Ho: P = 0 Ha: p = 0 Ho: p = 0 r = Sxx = 2,619,573.214, Syy = 36.8881, Sxy = 7,323.132. 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 α = 0.05.) Ha: p < 0 Ho: P = 0 790 840 1,035 1,210 1,260 1,310 1,410 Ha: p = 0 6.40 6.98 t = P-value = 1,485 1,490 1,495 7.45 5.05 7.70 Compute the value of the sample correlation coefficient, r. (Round your answer to four decimal places.) 2,190 4.35 6.50 8.80 Calculate the test statistic and determine the P-value. (Round your test statistic to one decimal place and your P-value…