18. Correlation and covarianceSuppose two random variables X and Y have a covariance of -100,000 and a correlation of -0.21. Which of the following can we say about the strength of the relationship between the two variables?Pick ONE optionThe two variables have (practically speaking) no relationshipThe two variables have a moderate positive (direct) relationshipThe two variables have a moderate negative (inverse) relationshipThe two variables have an extremely strong positive (direct) relationshipThe two variables have an extremely strong negative (inverse) relationship

given data, two random variables X and Y have a covariance of -100,000 and a correlation of -0.21we…

Answered: 18. Correlation and covariance Suppose…

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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1. If there is a strong correlation between two variables X and Y, then X causes Y or Y causes X. O True O False
Q19. The diagram below shows a scatter diagram of values of the variables x and y. Which one of the following is the most appropriate value of the correlation coefficient? Α.-0.5 В. 0.0 С. 0.5 D. 0.95.
Examine the computation formula for r, the sample correlation coefficient. (a) In the formula for r, if we exchange the symbols x and y, do we get a different result or do we get the same (equivalent) result? Explain your answer. The result is the same because the formula is dependent on the symbols.The result is the same because the formula is not dependent on the symbols. The result is different because the formula is not dependent on the symbols.The result is different because the formula is dependent on the symbols. (b) If we have a set of x and y data values and we exchange corresponding x and y values to get a new data set, should the sample correlation coefficient be the same for both sets of data? Explain your answer. The result is different because the formula is dependent on which values are the x values and which values are the y values.The result is the same because the formula is dependent on which values are the x values and which values are the y values. The result…
The top portion of the Pearson's r correlation coefficient equation calculates the______ whereas the bottom portion calculates the___ 1)variance of x and the variance of y; covariance between variables x and y 2)covariance of variable ×; covariance of variable y 3)covariance between variables x and y; variance of x and the variance of y 4)covariance of variable v: covariance of variable x.
Interpret the Correlation Coefficient -0.9 It is Strong Positive It is Weak Negative It is Weak Positive It is Strong Negative
Shown below is a scatterplot of Y versus X. -10 -20 -30 -40 -50 10 15 20 25 Which choice is most likely to be the correlation coefficient between X and Y? -0.99 0.99 0.10 -0 10
What is another possible explanation for this correlational relationship? Since this is just a correlation, we can’t be sure if age causes changes in your field goal percentage. So, what is one possible other explanation that you can come up with for the correlation that you calculated (hint: think about possible "third variable" explanations for this correlation---what other variables or factors might be causing changes in both x and y that could explain this correlation?).
6
Based on the SPSS correlation matrix below, what do we know about the t-score value for each tested relationship?
What is another possible explanation for this correlational relationship? Since this is just a correlation, we can’t be sure if age causes changes in your field goal percentage. So, what is one possible other explanation that you can come up with for the correlation that you calculated (hint: think about possible "third variable" explanations for this correlation---what other variables or factors might be causing changes in both x and y that could explain this correlation?).

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