Golfer I 7 4 Golfer J 8 1 What is the rank correlation between driving distance and putting for these golfers? (Round your answer to three decimal places.) Test for significance of the correlation coefficient at the 0.10 level of significance. State the null and alternative hypotheses. H₁₂ : P₂ = 0 H₂: P₂ = 0 OH :P #0 H₂ : P = 0 OH₂: P₂0 OH: P₂ 20 H₂: P₂ <0 OH:P, SO Find the value of the test statistic. (Round your answer to two decimal places.) Find the p-value. (Round your answer to four decimal places.) p-value= H₂: A₂ = 0

What is the relationship between the attendance at a major league ball game and the total number of runs scored? Attendance figures (in thousands) and the runs scored for 9 randomly selected games are shown below.   Attendance 45 38 55 56 58 58 35 17 56 Runs 7 5 11 7 12 9 8 1 9   Find the correlation coefficient:  r=r=    Round to 2 decimal places. The null and alternative hypotheses for correlation are:H0:H0:      == 0H1:H1:       ≠≠ 0    The p-value is:    (Round to four decimal places) Use a level of significance of α=0.05α=0.05 to state the conclusion of the hypothesis test in the context of the study. There is statistically significant evidence to conclude that there is a correlation between the attendance of baseball games and the runs scored. Thus, the regression line is useful. There is statistically significant evidence to conclude that a game with higher attendance will have fewer runs scored than a game with lower attendance. There is statistically insignificant…

A grocery store manager did a study to look at the relationship between the amount of time (in minutes) customers spend in the store and the amount of money (in dollars) they spend. The results of the survey are shown below.   Time 30 14 23 25 21 28 8 Money 127 80 98 123 77 106 32   Find the correlation coefficient:  r=r=    Round to 2 decimal places. The null and alternative hypotheses for correlation are:H0:H0: ? ρ r μ  == 0H1:H1: ? r ρ μ   ≠≠ 0    The p-value is:    (Round to four decimal places) Use a level of significance of α=0.05α=0.05 to state the conclusion of the hypothesis test in the context of the study. There is statistically significant evidence to conclude that a customer who spends more time at the store will spend more money than a customer who spends less time at the store. There is statistically significant evidence to conclude that there is a correlation between the amount of time customers spend at the store and the amount of money that they spend at…

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