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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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Statical messure of the extent in which two factors vary together?

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Distinguish between analysis of variance and analysis of covariance?

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What are the three conditions necessary for causation between variables?

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What is the difference between direct and indirect correlation in statistics?

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