Refer to the accompanying scatterplot. a. Examine the pattern of all 10 points and subjectively determine whether there appears to be astrong correlation between x and y. b. Find the value of the correlation coefficient r and determine whether there is a linear correlation. c.Remove the point with coordinates (10,10) and find the correlation coefficient r and determine whether there is a linear correlation. d. Whatdo you conclude about the possible effect from a single pair of values?Click here to view a table of critical values for the correlation coefficient.a. Do the data points appear to have a strong linear correlation?YesNob. What is the value of the correlation coefficient for all 10 data points?(Simplify your answer. Round to three decimal places as needed.)r=exampleGet more help -Table of Critical Valuesn45678 OF MS60910111213141516a = .05.950.878.811.754.707.666.632.602.576.553.532.514.497a = .01.990.959917.875.834.798.765.735.708.684.661.641.62310-0+0-X10QQanswer

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Answered: Refer to the accompanying scatterplot.…

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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A student of Engineering conducted a research to determine the correlation between performance of 2 lathes in the workshop. Assessments were conducted on weekly basis, and the following data were obtained. Calculate the coefficient of correlation using Karl Pearson's method, and discuss the level of the relationship. Table 2. The performance of the lathes on weekly basis. Week(s) 1st 2nd 3rd 4th 5th 6th 7th 8th 9th 10th Lathe A 42 48 40 28 46 90 28 56 16 22 Lathe B 56 78 72 24 60 42 36 82 28 34 良

Refer to the accompanying scatterplot. a. Examine the pattern of all 10 points and subjectively determine whether there appears to be a strong correlation between x and y. b. Find the value of the correlation coefficient r and determine whether there is a linear correlation. c. Remove the point with coordinates (2,9) and find the correlation coefficient r and determine whether there is a linear correlation. 10- d. What do you conclude about the possible effect from a single pair of values? Click here to view a table of critical values for the correlation coefficient. AY Table of critical values 10 a. Do the data points appear to have a strong linear correlation? a = 05 a = 01 No 4. .950 990 878 959 V Yes 811 .917 7. .754 875 b. What is the value of the correlation coefficient for all 10 data points? 707 834 .666 .798 T=-0.906 (Simplify your answer. Round to three decimal places as needed.) 10 .632 765 11 .602 735 12 576 708 13 553 .684 532 .661 14 514 .641 15 Print Done Check answer…
Refer to the accompanying scatterplot. a. Examine the pattern of all 10 points and subjectively determine whether there appears to be a strong correlation between x and y. b. Find the value of the correlation coefficient r and determine whether there is a linear correlation. c. Remove the point with coordinates (2,9) ) and find the correlation coefficient r and determine whether there is a linear correlation. (This is for my practice exam qustions, none of it is graded)
10- Refer to the accompanying scatterplot. a. Examine the pattern of all 10 points and subjectively determine whether there appears to be a strong correlation between x and y. b. Find the value of the correlation coefficient r and determine whether there is a linear correlation. c. Remove the point with coordinates (9,10) and find the correlation coefficient r and determine whether there is a linear correlation. d. What do you conclude about the possible effect from a single pair of values? Click here to view a table of critical values for the correlation coefficient. a. Do the data points appear to have a strong linear correlation? Yes No b. What is the value of the correlation coefficient for all 10 data points? (Simplify your answer. Round to three decimal places as needed.) r= Table of Critical Values n 45678 9 10 11 12 13 14 15 16 17 18 19 20 25 30 35 40 45 50 α = .05 .950 .878 .811 .754 .707 .666 .632 .602 .576 .553 .532 .514 .497 .482 .468 .456 .444 .396 .361 .335 .312 .294 .279…
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Bt.20.
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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2.) The table shown below are the raw scores obtained by eight (8) students. Is there a relationship in their scores in Mathematics and in Biology? Use Pearson Product-Moment Coefficient of Correlation to establish the relationship. Student 1 3 4 6. 8. Mathematics (x) 6. 3. 4 3 Biology (y) 8. 3. 7 4
If we find that there is a linear correlation between the concentration of carbon dioxide in our atmosphere and the global temperature, does that indicate that changes in the concentration of carbon dioxide cause changes in the global temperature? Choose the correct answer below. A. No. The presence of a linear correlation between two variables does not imply that one of the variables is the cause of the other variable. B. Yes. The presence of a linear correlation between two variables implies that one of the variables is the cause of the other variable.
After gathering data about the number of starfish and measuring the pollution in areas of the ocean you find a negative linear correlation between pollution levels and number of starfish. What can you conclude based on this information? a. There is a confounding variable that is affecting both pollution and starfish. b. As pollution rises the number of starfish falls c. That pollution is causing starfish to die, leading to the negative correlation d. That pollution is supporting starfish, leading to the negative correlation
10. The sign of the Pearson’s correlation coefficient (r) tells us what information? a. only the strength of the correlation (small, medium, or large) b. only the direction of the correlation (negative or positive) c. both the strength and direction of the correlation d. the strength, direction, and form of the correlation

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