Welcome to the Quiz!
This quiz contains 9 questions from a mix of 1 subtopics.
Which of the following is true about the interpretation of correlation coefficients?
a coefficient near -1 indicates no correlation
a coefficient near 0 indicates a perfect linear correlation
a coefficient near -1 indicates a strong negative correlation
a coefficient near +1 indicates a strong negative correlation
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Which of the following is true about a positive correlation?
one variable increases while the other decreases
the correlation coefficient is always close to 0
there is no clear relationship between the variables
both variables increase or decrease together
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What is the purpose of comparing the calculated correlation coefficient to a critical value at a 5% significance level?
to determine the direction of the correlation
to determine the significance of the correlation
to determine the strength of the correlation
to determine the linearity of the correlation
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What does a correlation coefficient of 1 indicate?
a strong negative correlation
no correlation
a perfect positive linear correlation
a perfect negative linear correlation
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Which of the following is true about a negative correlation?
there is no clear relationship between the variables
both variables decrease together
both variables increase together
one variable increases while the other decreases
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What does a correlation coefficient close to 0 suggest?
no correlation
a perfect linear correlation
a strong positive correlation
a strong negative correlation
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Which of the following is true about Pearson's correlation coefficient (r)?
it is used when one or both variables are not normally distributed
it is used for discontinuous variables
it is used for continuous variables
it measures the strength of a non-linear relationship
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What does an r value near +1 indicate in Pearson's correlation?
no correlation
a strong negative correlation
a perfect negative linear correlation
a strong positive correlation
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In the Pearson's correlation coefficient formula, what does xˉ represent?
the sum of all x values
the difference between each x value and the mean of x
the mean of all x values
the standard deviation of x
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