2233 422233co a a AA ANNN66646236384042444648Height at four9. Find the correlation coefficient for each of the three data sets shown below.(a)(b)(c)yy11121111 571131343.4.4116.4138.10. In a large psychology study, each subject took two IQ tests (form L andform M of the Stanford-Binet). A scatter diagram for the test scores issketched at the top of the next page. You are trying to predict the score on

We have given some data, We have to calculate correlation coefficient for each sub part. According…

Answered: 134N d the correlation coefficient for…

MATLAB: An Introduction with Applications

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Author:Amos Gilat

Publisher:Amos Gilat

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Question: Calculate the Pearson's correlation coefficient (r) between two variables, x and y, with the following data: x: [1, 2, 3, 4, 5] y: [2, 4, 6, 8, 10]
(d) Compute the linear correlation coefficient between MRI count and IQ for females. Compute the linear correlation coefficient between MRI count and IQ for males. The linear correlation coefficient for females is enter your response here. 2.The linear correlation coefficient for males is enter your response here. Cirticul value table 3 0.997 4 0.950 5 0.878 6 0.811 7 0.754 8 0.707 9 0.666 10 0.632 11 0.602 12 0.576 13 0.553 14 0.532 15 0.514 16 0.497 17 0.482 18 0.468 19 0.456 20 0.444 21 0.433 22 0.423 23 0.413 24 0.404 25 0.396 26 0.388 27 0.381 28 0.374 29 0.367 30 0.361 n
(b) For each pair of variables, generate the correlation coefficient r. Compute the corresponding coefficient of determination r2. (Use 3 decimal places.) r r2 x1, x2 x1, x3 x2, x3
How will do simple correlation using data shown in R? Thanks.
13. For the following set of 5 data points for two variables, what is the correlation coefficient? a. -0.780 c. +0.859 X - 0 3 6 4 9 Y 97 85 79 281 70 Zx -1.3 -0.4 0.5 -0.1 1.4 Z, 1.4 0.3 -0.3 -0.1 -1.3 b. -0.918 d. -0.975
A Of two personnel evaluation techniques available, the first requires a 2-hour test-interview while the second can be completed in less than an hour. The scores for each of the eight individuals who took both tests are given in the table below. Applicant Test 1 (x) Test 2 (y) 1 75 38 2 90 56 60 35 71 46 92 58 3 4 5 7 8 106 55 87 69 30 52 (a) Find the correlation coefficient r to describe the relationship between the two tests. (Round your answer to three decimal places.) r= (b) Would you be willing to use the second and quicker test rather than the longer test-interview to evaluate personnel? Explain. O The correlation coefficient is close to -1, indicating that the second and quicker test could be used in place of the longer test-interview. O The correlation coefficient is close to 1, indicating that the second and quicker test could be used in place of the longer test-interview. O The correlation coefficient is close to 1, indicating that the second and quicker test could not be…
2. For this question use the following set of data points. Use Excel's CORREL function to find the value of the correlation coefficient. 1 1 2 2 3 3 3 10 1 2 3 1 3 1 2 3 10 (a) Obtain a scatter plot of the 10 data points. (b) Find the value of the correlation coefficient for the 10 data points. (c) Use Excel with a = 0.05 to determine if there is a linear correlation. Now remove the point with coordinates (10, 10) so there are 9 pairs of points. (d) Obtain a scatter plot of the 9 data points. (e) Find the value of the correlation coefficient for the 9 data points. (f) Use Excel with a = 0.05 to determine if there is a linear correlation. (g) What conclusion do you make about the possible effect of a single pair of values?
A random sample of 42 earthquakes that have occurred between January 2015 and September 2017 was selected and for each earthquake the magnitude of the earthquake and the number of people killed was recorded. The data appear in the scatterplot below. 400 350 300 250 200 150 100 50 0 3 -50 4 5 6 7 8 9 10 -100 -150 Magnitude of Earthquake 8 Consider the scatterplot above question 2. Use this scatterplot to describe completely the relationship between the magnitude of the earthquake and the number of people killed. Positive and linear Negative, moderate, linear O Negative, strong, linear Positive, moderate, linear Number of People Killed ---
This is a continuation of the last question I posted: f. The value of linear correlation coefficient r is i. 0.948 ii. 0.974 iii. -0.948 iv. -0.974 g.Based on your answer in part (f), the linear dependance between weekly exercise time and change in cholesterol level is strong negative i. True ii. False H. When weekly exercise time is 460 minutes (approximately 66 minutes per day), the 95 percent confidence interval for change in cholesterol level is (197.3, 225.4). This means that: i. If one person exercises 460 minutes per week, his/hers change in cholesterol level will be between 197.3 and 225.4 with 95 percent certainty.ii. If several people exercise 460 minutes per week, their average change in choles- terol level will be between 197.3 and 225.4 with 95 percent certainty. I. When weekly exercise time is 460 minutes (approximately 66 minutes per day), the 95 percent prediction interval for change in cholesterol level is (155.1, 267.6). This means that i. If one person…
The following are the age (in years) and price (in hundreds of dollars) data for a certain type of car. A scatterplot of the data is given to the right. 500- 400 0 300 80 80 Age (x) Price (y) 270 255 276 408 369 291 340 311 404 309 6. 6. 1 4 4 5 1 200 0 2 4 6 8 10 a. Obtain the linear correlation coefficient. b. Interpret the value of r in terms of the linear relationship between the two variables. c. Discuss the graphical interpretation of the value of r. d. Obtain the value of the coefficient of determination by squaring r. a. r= 3|(Round to three decimal places as needed)
#1
1. What is the correlation coefficient for the two variables listed below? It is probably easiest to use the =correl() function in excel or find the correlation coefficient in Gretl or Jamovi. (Round your answer to the nearest 0.1) 19 1 4 12 54 51 53 64 82 85 86 14 65 54 96 98 91 88 96 66

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134N d the correlation coefficient for each of the three data sets shown below. (a) (b) (c) y y y 1 5 1 3 1 5 1 7 2 3 2 3 1 1 1 1 2 1 1 1 3 1 2 1 1 2 1 4 4 4 2 1 2 1 4 3 2 3 1 3 1 1 6. 4. 8 3 4 4 3