When calculating a correlation coefficient, why is it important to divide the sum of cross-products of Z scores by the number of people in the study?
When calculating a correlation coefficient, why is it important to divide the sum of cross-products of Z scores by the number of people in the study?
MATLAB: An Introduction with Applications
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Author:Amos Gilat
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Chapter1: Starting With Matlab
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
Transcribed Image Text:When calculating a correlation coefficient. why is it important to divide the sum of cross-products of Z scores by the number of people in the study?
O The less people in a study the larger the sum of the cross-products will be, even if the strength of the correlation is the same. By dividing by the number of people, you are
able to correct for this.
The less people in a study, the larger the sum of the cross-products will be, even if the strength of the correlation is the same. By dividing by the number of people minus
one, you are able to correct for this.
The more people in a study, the larger the sum of the cross-products will be, even if the strength of the correlation is the same. By dividing by the number of people, you are
able to correct for this.
None of the above
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