Difference between revisions of "Correlation coefficient"

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[[Correlation coefficient]], ''ρ (rho)'', is a standardized measure of how two random variables co-vary. A correlation coefficient (ρ) of +1.0 means that the two variables move up and down in perfect synchronization, whereas a coefficient of −1.0 means the variables always move in opposite directions. A correlation coefficient of zero suggests that the two variables are not related to one another; that is, they are independent.
  
  
 
==Definitions==
 
==Definitions==
 
According to [[Financial Management Theory and Practice by Eugene F. Brigham and Michael C. Ehrhardt (13th edition)]],
 
According to [[Financial Management Theory and Practice by Eugene F. Brigham and Michael C. Ehrhardt (13th edition)]],
:
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:[[Correlation coefficient]], ''ρ (rho)''. A standardized measure of how two random variables co-vary. A correlation coefficient (ρ) of +1.0 means that the two variables move up and down in perfect synchronization, whereas a coefficient of −1.0 means the variables always move in opposite directions. A correlation coefficient of zero suggests that the two variables are not related to one another; that is, they are independent.
  
 
==Related concepts==
 
==Related concepts==

Revision as of 09:06, 30 October 2019

Correlation coefficient, ρ (rho), is a standardized measure of how two random variables co-vary. A correlation coefficient (ρ) of +1.0 means that the two variables move up and down in perfect synchronization, whereas a coefficient of −1.0 means the variables always move in opposite directions. A correlation coefficient of zero suggests that the two variables are not related to one another; that is, they are independent.


Definitions

According to Financial Management Theory and Practice by Eugene F. Brigham and Michael C. Ehrhardt (13th edition),

Correlation coefficient, ρ (rho). A standardized measure of how two random variables co-vary. A correlation coefficient (ρ) of +1.0 means that the two variables move up and down in perfect synchronization, whereas a coefficient of −1.0 means the variables always move in opposite directions. A correlation coefficient of zero suggests that the two variables are not related to one another; that is, they are independent.

Related concepts

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