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Covariance provides a measure of the strength of the correlation between two or more sets of random variates.

2007-01-14 01:45:59 · answer #1 · answered by boombabybob 3 · 1 2

Difference Between Covariance And Correlation

2016-09-30 05:48:27 · answer #2 · answered by ? 4 · 0 0

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RE:
What is the difference between covariance and correlation?

2015-08-18 14:41:01 · answer #3 · answered by Anonymous · 0 0

Covariance and correlation are related parameters that indicate the extent to which two random variables co-vary.

Correlation is a scaled version of covariance

2007-01-14 01:44:32 · answer #4 · answered by SAI H 2 · 2 0

It is two concepts different. You speak of correlation when a statistical variable x can be expressed has a function of an other statistical variable.

covariance is defined as this: suppose you have the values of a parameter x defined as Xi and Yi with the means of x called Xm and the mean of Y called Ym

the covariance is the sum on all the i of (Xi-Xm) (Yi-Ym)

The calculus is made by the computer. for each point it calculates Xi-Xm then Yi-Ym. It multiplies hese quantities and add for all the points

2007-01-14 02:39:24 · answer #5 · answered by maussy 7 · 0 2

covariance - the expectation or mean value of the variable formed by multiplying the differences obtained by subtracting two given variates from their respective means; the product of the standard deviations of two given variates and the coefficient of correlation between them.



correlation - A causal, complementary, parallel, or reciprocal relationship, especially a structural, functional, or qualitative correspondence between two comparable entities: a correlation between drug abuse and crime.
Statistics The simultaneous change in value of two numerically valued random variables: the positive correlation between cigarette smoking and the incidence of lung cancer; the negative correlation between age and normal vision.
An act of correlating or the condition of being correlated.

2007-01-14 02:57:35 · answer #6 · answered by Roopa R 3 · 1 1

In correlation, it's the same thing as relation. Two things correlate- that means change in one effects change in another.

Covariance means that both change the same way, but it is not necessarily a causal relationship.

2007-01-14 01:45:48 · answer #7 · answered by Anonymous · 0 3

Interesting topic!

2016-08-23 15:09:58 · answer #8 · answered by Anonymous · 0 0

Maybe it's good

2016-08-08 23:59:43 · answer #9 · answered by ? 3 · 0 0

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