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as the covariance of the two random variables (X and Y) is used for calculating the correlation coeffitient of those variables it indicates that the relation between those (X and Y) is positive, so they are positively correlated.

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Q: What do positive values of covariance indicate?
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How do you find covariance of two variables?

The covariance between two variables is simply the average product of the values of two variables that have been expressed as deviations from their respective means. ------------------------------------------------------------------------------------------------- A worked example may be referenced at: http://math.info/Statistics/Covariance


What is the difference between correlation and covariance?

Correlation is scaled to be between -1 and +1 depending on whether there is positive or negative correlation, and is dimensionless. The covariance however, ranges from zero, in the case of two independent variables, to Var(X), in the case where the two sets of data are equal. The units of COV(X,Y) are the units of X times the units of Y. correlation is the expected value of two random variables (E[XY]),whereas covariance is expected value of variations of two random variable from their expected values,


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What are the release dates for Covariance - 2011?

Covariance - 2011 was released on: USA: 20 September 2011


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Distinguish between analysis of variance and analysis of covariance?

) Distinguish clearly between analysis of variance and analysis of covariance.


What is the next and the previous number for 1000b?

It is not possible to answer the question because there is no information to indicate if b is positive or negative.It is not possible to answer the question because there is no information to indicate if b is positive or negative.It is not possible to answer the question because there is no information to indicate if b is positive or negative.It is not possible to answer the question because there is no information to indicate if b is positive or negative.


What does skew mean in excel?

Skew is a statistical function. It is used to indicate the asymmetry of a set of values around the mean of those numbers.Skew is a statistical function. It is used to indicate the asymmetry of a set of values around the mean of those numbers.Skew is a statistical function. It is used to indicate the asymmetry of a set of values around the mean of those numbers.Skew is a statistical function. It is used to indicate the asymmetry of a set of values around the mean of those numbers.Skew is a statistical function. It is used to indicate the asymmetry of a set of values around the mean of those numbers.Skew is a statistical function. It is used to indicate the asymmetry of a set of values around the mean of those numbers.Skew is a statistical function. It is used to indicate the asymmetry of a set of values around the mean of those numbers.Skew is a statistical function. It is used to indicate the asymmetry of a set of values around the mean of those numbers.Skew is a statistical function. It is used to indicate the asymmetry of a set of values around the mean of those numbers.Skew is a statistical function. It is used to indicate the asymmetry of a set of values around the mean of those numbers.Skew is a statistical function. It is used to indicate the asymmetry of a set of values around the mean of those numbers.


Examples of positive and negative values?

Positive values : 1, 2, 3, 4, 5 Positive is a plus. Negative values:-1,-2,-3,-4,-5 Negative is minus.


How many covariance you have if you have 1700 stocks?

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No. Probability values always have to be positive.


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