Question 1

If you are examining the relationship between variables (not the difference between groups) and only two variables are being used, what is the appropriate test statistic?

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Question 2

What two test statistics can be used to test the significance of a correlation coefficient?

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Question 3

If the correlation between two variables is .496, how much of the variance has not been accounted for?

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Question 4

What does a correlation coefficient represent?

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Question 5

If you think that there is a positive correlation between two variables, is the test one-tailed or two tailed? If you hypothesize that there is a negative correlation between two variables, is the test one-tailed or two-tailed?

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Question 6

How do you calculate the degrees of freedom when testing the correlation coefficient?

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Question 7

If the correlation between two variables is .496, what is the coefficient of determination?

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Question 8

What are the null and research hypotheses for testing a correlation coefficient?

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Question 9

What are the considerations/requirements one must follow in order to know that a test of the correlation coefficient is the appropriate statistic?

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Question 10

If the correlation between two variables is .496, what is the coefficient of determination?
A) 246
B)496
C) 504
D) 754

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Question 11

How would you decide whether to use a one-tailed or two-tailed test for a correlation coefficient?

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Question 12

If the correlation between two variables is .496, how much of the variance has not been accounted for?
A) 24.6%
B) 49.6%
C) 50.4%
D) 75.4%

Accepted Answer

The answer of If the correlation between two variables is...

Quiz 15: Cousins or Just Good Friends? Testing Relationships Using the Correlation Coefficient

If you are examining the relationship between variables (not the difference between groups) and only two variables are being used, what is the appropriate test statistic?

What two test statistics can be used to test the significance of a correlation coefficient?

If the correlation between two variables is .496, how much of the variance has not been accounted for?

What does a correlation coefficient represent?

If you think that there is a positive correlation between two variables, is the test one-tailed or two tailed? If you hypothesize that there is a negative correlation between two variables, is the test one-tailed or two-tailed?

How do you calculate the degrees of freedom when testing the correlation coefficient?

If the correlation between two variables is .496, what is the coefficient of determination?

What are the null and research hypotheses for testing a correlation coefficient?

What are the considerations/requirements one must follow in order to know that a test of the correlation coefficient is the appropriate statistic?

If the correlation between two variables is .496, what is the coefficient of determination?

How would you decide whether to use a one-tailed or two-tailed test for a correlation coefficient?

If the correlation between two variables is .496, how much of the variance has not been accounted for?