The rankings of a sample of professional golfers in both driving distance and putting are shown.DrivingGolferPuttingDistanceGolfer A15Golfer B510Golfer C46Golfer D92Golfer E67Golfer F103Golfer G28Golfer H39Golfer I74Golfer J81What is the rank correlation between driving distance and putting for these golfers? (Round your answer to three decimal places.)r₂ =Test for significance of the correlation coefficient at the 0.10 level of significance.State the null and alternative hypotheses.H₁: P₁ = 0H₂: P₂ #0OH :P #0H₂:0₂ = 0OH:P >0H₁₂1 P₂ = 0OHP, 20H₂: P <0OH :P, SOH:P >0Find 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 =

Rankings are given We need to find spearman's correlation coefficient and then test the…

Answered: Golfer I 7 4 Golfer J 8 1 What is the…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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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…
I already answered some part
You are given the total number of weekly sales from two employees over a 7-week period. Calcu- late the Pearson correlation coefficient given the following data: Week 1 Week 2 Week 3 Week 4 Week 5 Week 6 Week 7 Employee A Sales 15 20 25 18 22 30 28 Employee B Sales 12 18 22 15 19 27 25
(e)
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need help with everything from test statistic and onward. Thx!
47
Annual high temperatures in a certain location have been tracked for several years. Let X represent the year and Y the high temperature. Based on the data shown below, calculate the correlation coefficient (to three decimal places) between X and Y. Use your calculator! X 3 y 36.89 4 32.82 5 31.45 6 26.18 7 24.11 8 22.04 9 16.87 10 14.1 T= Question Help: Video Check Answer
What is the relationship between the amount of time statistics students study per week and their final exam scores? The results of the survey are shown below. Time 11 5 Score 82 68 70 63 62 54 78 69 x-values y-values a. Find the correlation coefficient: r = b. The null and altemative hypotheses for correlation arer Ho: ?v H: ?v to Round to 2 decimal places. = 0 The p-value is: (Round to fsur decimal places) d. Use a level of significance of a = 0.05 to state the conclusion of the hypothesis test in the context of the study. Select an answer p² = (Round to two decimal places) f. Interpret 2 : Select an answer g. e. The equation of the linear regression line is: = (Please show your answers to two decimal places) h. Use the model to predict the final exam score for a student who spends 7 hours per week studying. Final exam score = (Please round your answer to the nearest whole number.) i. Interpret the slope of the regression line in the context of the question: Select an answer j.…
p17 need help with D F G please
Using technology, what is the correlation coefficient? The weight (in pounds) and height (in inches) for a child were measured every few months over a two-year period. The results are given in the table. O -0.997 O -0.503 Weight (x) 8. 12 18 24 30 32 35 37 40 O 0.503 Height (y) 22 23 26 30 32 33 5 36 38 O 0.997

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