Calculate the rank correlation coefficient for the ranks of 10 students assigned by two teachers :Student167810Ranks of Teacher I6.314910Ranks of Teacher II105974

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Answered: Calculate the rank correlation…

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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The store manager of a business that sells jackets is curious if the weather temperature (in degrees Celsius) per day is related to the daily sales (in pesos) earned by the store. He took some random samples and recorded the temperatures and sales for the selected days, which can be found in the next slide. Calculate the correlation coefficient and interpret the result.
The following table shows the weekly sales, test scores & achievement ratings of 5 salespersons working for a local car dealership: Salesperson Weekly Sales (Y) Sales Aptitude Test Score (x1) Mechanical Achievement (x2) Walters 11 10 6 Sullivan 5 4 2 Obmer 8 1 4 Smith 12 7 5 Jones 4 3 1 Brown 6 5 3 Black 7 2 2 Calculate the multiple correlation coefficient.. Select one: a. 0.925 b. 0.952 c. 0.295 d. 0.592
7. In a contest for Mr. CAMPUS Personality, two judges gave their ratings to 8 candidates. Compute the coefficient of rank correlation (spearman). Interpret the result. Judge 1 Judge 2 R₁ R₁₂ d 88 84 1. 4 -3 a² 9 87 87. 4 2. 2 0 0 85 88. 3 1 2 4 80 854 4. 79, 82. 5. 78 80. 6.5 78 78 6.5 75 79 60 35687 1 1 0 0 0.5 0.25 -1.5 2.25 7 1 1 d-17.5
A random sample of 7 countries gave the following figures for X = annual per capita income and Y = urbanization rate (percentage of people living in urban area): Country X (US dollars) Y (%) 1 3500 20 2 2700 24 3 2100 16 4 2400 19 5 3000 26 6 2000 19 7 1900 17 Calculate the correlation coefficient for the sample. Explain the results At the 5% significant level, test whether per capita income and urbanization rate are unrelated.
2. You are given the following data of marks obtained by 11 students in statistics in two tests, one before and other after a special coaching. Evaluate the rank correlation coefficient and comment on its value. First 23 20 19 21 18 18 20 18 17 23 16 19 Test(before coaching) Second Test( After coaching) 24 19 22 18 20 22 20 22 20 20 23 20 17 3. Calculate the rank correlation coeffieient and comment on its value. 65 120 70 115 50 75 65 115 50 125 50 55 55 60 Y. 110 110 140, 115 130 160 STAT3. 20
A nutritionist collects data from 25 popular breakfast cereals. For each cereal, the number of calories per serving is plotted on the x-axis against the number of milligrams of sodium on the y-axis. The value of r for the resulting scatterplot is 0.83. How would the value of the correlation coefficient, r, change if sodium was plotted on the x-axis and calories plotted on the y-axis? The value of r would increase. The value of r would not change. The value of r would change to –0.83. The value of r could increase or decrease, depending of the strength of the new relationship.
16. In comparing the relationship between rainfall and hot dog sales, a student finds the correlation to be r = -0.56. What is the best description of the relationship between these two sets of data? Group of answer choices Negative and Strong Positive and Weak Negative and Moderate Positive and Moderate
Find the coefficient of correlation between the sales and expenses of the following 10 firms: Firms Sales ('000) : 1 2 3 55 4 6. 65 5 7 9 10 60 50 8 : 50 50 60 65 65 60 Еxpenses ('000) :11 13 14 16 16 15 15 14 13 13
Calculate the Spearman correlation coefficient between two sets of data: set A = [6, 8, 10, 12, 14] and set B = [2, 4, 6, 8, 10].
1. Calculate the correlation coefficient 2. How are the fat and sodium contents associated?
5. Ten competitors in a beauty contest are ranked by three judges in the following order. Judge I: 1 6 5 10 3 2 4 9 7 8 CS Scanned with CamScanner

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Calculate the rank correlation coefficient for the ranks of 10 students assigned by two teachers : Student 1 3 4 6 7 8. 9. 10 Ranks of Teacher I Ranks of Teacher II 7 6. 3 1 4 9. 10 10 6. 9 7