Covariance Flashcards
If scores for one variable change then the scores for the other variable also change in a predictable manner
What term is used to describe this?
High covariance
Changes in one variable are not accompanied by a predictable change in the other variable
What term is used to describe this?
Low covariance
What is covariance?
A measure of how much two variables vary together
Low covariance is…?
Changes in one variable are not accompanied by a predictable change in the other variable
High covariance is…?
If scores for one variable change then the scores for the other variable also change in a predictable manner
What is the formula for total covariance?
(x coordinate - mean of x variable) x (y coordinate - mean of y variable)
Repeat this depending on how ever many coordinates there are
And add all of the results together
What is the formula for sample covariance?
Total covariance / (sample size - 1)
What describes how much two variables (x, y) co-vary (the amount of variance they share)?
Sample covariance
What is positive covariance?
Indicates that higher-than-average values of one variable tend to be paired with higher-than-average values of the other variable.
What is negative covariance?
Indicates that higher-than-average values of one variable tend to be paired with lower-than-average values of the other variable.
What is zero covariance?
If the two random variables are independent, the covariance will be zero. (However, a covariance of zero does not necessarily mean that the variables are independent. A nonlinear relationship can exist that still would result in a covariance value of zero.)
Indicates that higher-than-average values of one variable tend to be paired with lower-than-average values of the other variable.
This is known as…?
Negative covariance
Indicates that higher-than-average values of one variable tend to be paired with higher-than-average values of the other variable.
This is known as…?
Positive covariance
If the two random variables are independent, the covariance will be zero. (However, a covariance of zero does not necessarily mean that the variables are independent. A nonlinear relationship can exist that still would result in a covariance value of zero.)
This is known as…?
Zero covariance
How do you find the variance when you’re given only the s.d.?
Square the s.d.