Question

define the term covariance ​

Answer 1

Answer:

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Step-by-step explanation:

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the property of a function of retaining its form when the variables are linearly transformed.

Answer 2

Answer:

1.    In probability theory and statistics, covariance is a measure of the joint variability of two random variables. If the greater values of one variable mainly correspond with the greater values of the other variable, and the same holds for the lesser values, the covariance is positive.

2.    The property of a function of retaining its form when the variables are linearly transformed.

3.    The mean value of the product of the deviations of two variates from their respective means.

4.     Covariance is a measure of how changes in one variable are associated with changes in a second variable. Specifically, covariance measures the degree to which two variables are linearly associated. However, it is also often used informally as a general measure of how monotonically related two variables are.

5.     In mathematics and statistics. Moreover, statistics concepts can help investors monitor, covariance is a measure of the relationship between two random variables. ... The units are computed by multiplying the units of the two variables. The variance can take any positive or negative values.