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?

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter4: Equations Of Linear Functions
Section4.5: Correlation And Causation
Problem 15PPS
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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
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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