Which of the following is true of the correlation r?It measures the strength of the straight-line relationship between two quantitative variables.It cannot be greater than 1 or less than1.A correlation of +1 or –1 can only happen if there is a perfect straight-line relationship between twoquantitative variables.Correlation is 0 only when there is no association between the variables.Correlation changes when the explanatory and response variables are switched.

For given MSQ, we need to select the correct statements which are true for correlation r.

Answered: Which of the following is true of 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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PLEASE SHOW AN EXPLANATION FOR EACH PART
Which of the following is false? If the correlation coefficient is 1, then the slope must be 1 as well. If the correlation between two variables is close to 0.01, then there is a very weak linear relation between them. Correlation coefficient and the slope always have the same sign (positive or negative). Correlation measures the strength of linear association between two numerical variables.
A history instructor has given the same pretest and the same final examination each semester. he is interested in determining if there is a relationship between the scores of the two tests. he computes the linear correlation coefficient and notes that it is 1.15. what does the correlation coefficient value tells the instructor? a. there is a strong positive correlation between the test b. there is a strong negative correlation between the test c. the history instructor has made a computational error d. the correlation is something other than linear
How does multiplying each score by a (positive) constant affect the value of the correlation? The correlation changes sign. The correlation does not change. The correlation decreases. The correlation increases.
Find R, R^2 and P Value
You have a theory: people who have a high income (X) are generally healthier (Y). You collect some data from local nursing homes and retirement homes and find no linear correlation between income and health. Of the 4 correlation mistakes we discussed in class, which one is the most likely here? Why? A supplements company conducted a study and found a strong positive relationship between use of its supplements and health. It advertised that it found a correlation coefficient of +1.25. What is wrong with this statement?
The correlation between amount of sleep students get the night before the test and their performance shows that the less sleep they get the lower their grades. This would be an example of Group of answer choices no correlation a negative correlation a spurious correlation a positive correlation
The data below shows the selling price (in hundred thousands) and the list price (in hundred thousands) of homes sold. Construct a scatterplot, find the value of the linear correlation coefficient r, and P-value using a = 0.05. Is there sufficient evidence to conclude that there is a linear correlation between the two variables? Selling Price (x) List Price (y) H₁: p#0 400 412 Construct a scatterplot. Choose the correct graph below. 301 315 376 387 434 440 459 488 H₁ p > 0 477 480 319 324 352 368 417 434 330 341
Define and distinguish among positive correlation, negative correlation, and no correlation. How do we determine the strength of a correlation? A. positive correlation means that both variables tend to increase (or decrease) together B. positive correlation means that two variables tend to change in opposite directions, with one increasing all the other decreases. C. positive correlation means that there is no apparent relationship between the two variables. D. positive correlation means that there is a good relationship between the two variables.
As temperature decreases, rates of crime also seem to decrease. Which of the following Pearsons R values represents the strongest possible correlation between these two variables?" -0.5 -1 0.5 1
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
Below is a subset of the data on quality of marriage and quality of parent-child relationship. Using the data provided below, calculate the correlation between the two variables. You should calculate the correlation "by hand" and show your work that led to the solution (take a picture of your hand-written notes and insert it into this document) Quality of marriage Quality of parent-child relationship 1 5 2

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