An art teacher is interested on the consistency of two judges who evaluated the performance of ten contestants in a postemaking contest. Consider the following ranking given by the two judges.ContestantAВDFJRanking of Judge 135861071Ranking of Judge 22378101After computing, what is the value of the correlation coefficienta.0.68O b. 0.19Oc.0.81O d. 0.929.9.2.

Calculate Correlation Coefficient r without cov(x,y) from the following data X Y 3 1 1 2 5…

Answered: An art teacher is interested on 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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Which of the following choices could be the Pearson correlation between the x and y variables shown in the scatter plot shown here? a) .934 b) -.934 c) 1 d) 0
Jim and Larry run a soup stand. The data below represents the sales of soup that they had on 8 randomly selected days, along with the high temperature on that day. a) Create a scatter diagram for this data set and comment on whether there is a positive or negative relationship between these variables.b) Calculate the correlation coefficient between temperature and sales.c) Does a linear relationship exist between these variables? Explain to me why or why not this is the case.d) Using excel, calculate the least squares regression equation for this data set. e) Using your equation, predict the soup sales on a day where the temperature is 29 degrees.f) Interpret the slope of this equation.g) Can we use this data set and regression equation to predict the sales on a day when the average temperature is 102 degrees? Why or why not?h) What is the R-squared for this equation? How do you interpret that R-squared?
Suppose the correlation between variables x and y isr = – 1. Also suppose that the data contains the points (6, 14) and (2, 18). Finally, suppose that the x-values in the data set are: æ 2 3 5 6 8 Make a scatterplot of this data set. 20+ 19 18 17 16 15 14 13 12 10 8 6 6
11. 1.0 8.3 1.0 4.0 10- 9- 10- 9 2.0 5.2 2.0 5.7 8- 3.0 9.8 3.0 6.9 7 6- 7- 4.0 6.1 6+ 54 4+ x 3 4.0 4.3 5- 5.0 1.7 5.0 5.2 4- 6.0 | 5.1 3 6.0 8.1 2- 2 7.0 | 5.7 1- 7.0 9.2 1- 8.0 3.8 8.0 6.7 9.0 9.6 9.0 8.9 10.0 6.6 Figure 1 10.0 8.0 Figure 2 m 114 3.3 10- 1.0 1.0 7.7 10+ 9- 2.0 4.5 9- 2.0 6.9 3.0 3.8 3.0 8.1 6- 4.0 6.1 5.0 7.0 4.0 5.2 5- 5- 5.0 | 4.3 4- 6.0 4.5 4. 3 2- 6.0 7.1 7.0 2 5.9 7.0 5.2 8.0 7.6 8.0 | 3.6 9.0 6.9 9.0 4.6 10.0 7,7 | Figure 3 10.0 3.1 Figure 4 Answer the following questions about the relationships between pairs of variables and the values of r, the sample cc be the correct answer for more than one question. Explanation Check O oololole
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
4. Consider the following data: XINMASSN 1 2 3 4 5 6 7 y 6 7 5 4 3 1 2 a) Make a scatterplot of these data. The variable labeled "x" should be plotted along the x-axis. Describe the pattern. b) Find the correlation coefficient for these data.
Page 34 Compute the correlation coe cient, r, for the following table: X 10 y 5 12 15 16 1 4 6 18 1 9 7 8 1 25 12 14 17 3 6
The asking prices (in Rands) and the actual selling prices (in Rands), after bargaining, of 8 commodities are given below. Commodity A D E F G H Asking price, x 150 350 400 750 100 650 600 250 Selling price, y 120 200 400 550 80 450 350 200 Find the correlation coefficient for the above data. A. 0.8224 B. 0.3722 С. 0.9438 D. 0.5318 Activate
9. Tell whether the correlation coefficient would be closest to -1, 0 or 1. a. b. с. 150 150 150 100 100 100 50 50 50 0 2 4 6 x 0 2 4 6x 0 2 4 6 x
The following table shows the annual family income of the students enrolled in the JRMSU-TC and their general weighted average (GPA). Students Annual Family Income (Pesos) General weighted average (GPA) % 1 85 100,000 50,000 2 79 3 150,000 4 180,000 5 300,000 6 500,000 7 230,000 2. Determine the correlation coefficient. 82 85 93 92 95
The following table gives the marks obtained by a student in ten tests during the year. Calculate the correlation coefficient. Test No. : 1 2 3 4 5 6 7 8 10 Marks in Accounts : 77 54 27 52 14 35 90 25 56 60 Marks in English : 35 58 60 40 50 40 35 56 34 42
Two separate tests are designed to measure a student's ability to solve problems. Several students are randomly selected to take both tests and the results are shown below. Test A (x) 43 65 73 34 99 78 65 Test B (y) 39 60 62 20 85 70 54 1. Calculate r, the linear correlation coefficient. Identify the values for each part below. Part a. The value of n Part b. The sum of the x-values Part c. The sum of the y-values Part d. The sum of the x-squared values Part e. The sum of the y-squared values Part f. The sum of the (xy) values Part g. The final value of r rounded top three decimal places

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