Covariance provides a measure of the strength of the correlation between two or more sets of random variates.
2007-01-14 01:45:59
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answer #1
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answered by boombabybob 3
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Difference Between Covariance And Correlation
2016-09-30 05:48:27
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answer #2
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answered by ? 4
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What is the difference between covariance and correlation?
2015-08-18 14:41:01
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answer #3
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answered by Anonymous
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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
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answer #4
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answered by SAI H 2
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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
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answer #5
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answered by maussy 7
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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
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answer #6
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answered by Roopa R 3
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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
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answer #7
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answered by Anonymous
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Interesting topic!
2016-08-23 15:09:58
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answer #8
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answered by Anonymous
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Maybe it's good
2016-08-08 23:59:43
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answer #9
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answered by ? 3
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