F2Which of the following statements about correlation is true?Choose the correct answer below.OA. We say that there is a positive correlation between x and y if the x-values increase as the corresponding y-values increase.OB. We say that there is a positive correlation between x and y if there is no distinct pattern in the scatterplot.OC. We say that there is a positive correlation between x and y if the x-values increase as the corresponding y-values decrease.O D. We say that there is a negative correlation between x and y if the x-values increase as the corresponding y-values increase.#380F3E26DC$4F4RFtv%5VIF5TG6AMacBook Airc2YB&7H6F7UPN* 008NJDIIF8(9DDMF9Kgag)OTime RemVDF10LIPI

The correlation between two random variable x and y is r

Answered: Choose the correct answer below. OA. We…

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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A2. A study of test results at different schools shows that as the student-to-teacher ratio increases the average test result tends to decrease, although the relationship is quite weak. Which of the following is plausible value for the correlation between student-to- teacher ratio and average test results? A -0.9 B -0.3 C -0.01 D 0.3 E 0.9
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
If when measuring two quantitative variables on an individual, we find that increases in the first variable x correspond to decreases in the second variable y, we say that A. there is a positive association between the two variables. b. there is a negative association between the two variables. c. there is no correlation between the two variables. d. there is a cause-and-effect relationship between the two variables.
Bt.20.
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.
Suppose we measure the heights (in inches) and weights (in pounds) of 100 randomly chosen college students. Furthermore suppose we calculate the correlation to be 0.6. If we change the measurements to centimeters and kilograms, what happens to the value of the correlation? Note: There are 2.54 centimeters in an inch, and there are 2.2 pounds in a kilogram. Group of answer choices: A. The correlation increases by a factor of 2.54/2.2 B. The correlation is still 0.6. C. The correlation decreases by a factor of 2.2. D. The correlation increases by a factor of 2.54.
K Refer to the accompanying scatterplot. The four points in the lower left corner are measurements from women, and the four points in the upper right corner are from men. Complete parts (a) through (e) below. OA. There appears to be a linear correlation because the points form a line. OB. There appears to be a linear correlation because the points form an obvious pattern. OC. There does not appear to be a linear correlation because the points do not form a line. O D. There does not appear to be a linear correlation because the points form an obvious pattern. AY OA. There appears to be a linear correlation because the points form an obvious pattern. OB. There appears to be a linear correlation because the points form a line. OC. There does not appear to be a linear correlation because the points form an obvious pattern. OD. There does not appear to be a linear correlation because the points do not form a line. 12- 9- 0 The correlation coefficient for the points in the lower left corner…
When the values of x tend to increase while the values of y tend to decrease; we say that: Answer choices: a. there is a cause-and-effect relationship between the two variables. b. there is a negative correlation between the variables. c. there is no correlation between the two variables.

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