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For numbers 16-17: The paired data below consist of the test scores of 6 randomly selected students and the number of hours they studied for the test. Hours 10 4 6. 10 9. Score 64 86 69 86 59 87 16. What can be said about the relationship between the number of hours and score obtained2 a. Negative, weak correlation Negative, strong correlation c. Positive, weak correlation d. Positive, strong correlation

For numbers 16-17: The paired data below consist of the test scores of 6 randomly selected students and the number of hours they studied for the test. Hours 10 4 6. 10 9. Score 64 86 69 86 59 87 16. What can be said about the relationship between the number of hours and score obtained2 a. Negative, weak correlation Negative, strong correlation c. Positive, weak correlation d. Positive, strong correlation

MATLAB: An Introduction with Applications
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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Answer 16, 17, 18, 19

For numbers 16-17: The paired data below consist of the test scores of 6 randomly selected students and the number of hours they studied for the test. Hours 5. 10 4. 6. 10 Score 64 86 69 86 59 87 16. What can be said about the relationship between the number of hours and score obtained2 a. Negative, weak correlation b. Negative, strong correlation 17. Which is the y-intercept of the regression line? ( c. Positive, weak correlation d. Positive, strong correlation a. 1.067 b. 67.349 c. 0.2242 d. 0.0503 18. Give the following data, which is the equation of the regression line? 0 4. 5 12 Y 8. 6. 9. 12 a. y = 4.88 + 0.625x b. y= C. y = 4.98 + 0.725 %3D 4.98+0.425x d. y = 4,88 + 0.525 y 3= 19. Which of the following gives the best fit of the line for a given data? c. y = -1.10+9x, r =-0.72 a. y = 2+6.5x, r 0.65 b. y = 6.05 + 0.825x, r = 0.64 d. y = 100 + 75x, r = 0.50 %3D 2.
Transcribed Image Text:For numbers 16-17: The paired data below consist of the test scores of 6 randomly selected students and the number of hours they studied for the test. Hours 5. 10 4. 6. 10 Score 64 86 69 86 59 87 16. What can be said about the relationship between the number of hours and score obtained2 a. Negative, weak correlation b. Negative, strong correlation 17. Which is the y-intercept of the regression line? ( c. Positive, weak correlation d. Positive, strong correlation a. 1.067 b. 67.349 c. 0.2242 d. 0.0503 18. Give the following data, which is the equation of the regression line? 0 4. 5 12 Y 8. 6. 9. 12 a. y = 4.88 + 0.625x b. y= C. y = 4.98 + 0.725 %3D 4.98+0.425x d. y = 4,88 + 0.525 y 3= 19. Which of the following gives the best fit of the line for a given data? c. y = -1.10+9x, r =-0.72 a. y = 2+6.5x, r 0.65 b. y = 6.05 + 0.825x, r = 0.64 d. y = 100 + 75x, r = 0.50 %3D 2.
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