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Homogeneity of variance


In statistics, a sequence or a vector of random variables is homoscedastic /ˌhmskəˈdæstɪk/ if all random variables in the sequence or vector have the same finite variance. This is also known as homogeneity of variance. The complementary notion is called heteroscedasticity. The spellings homoskedasticity and heteroskedasticity are also frequently used.

The assumption of homoscedasticity simplifies mathematical and computational treatment. Serious violations in homoscedasticity (assuming a distribution of data is homoscedastic when in reality it is heteroscedastic /ˌhɛtərskəˈdæstɪk/) may result in overestimating the goodness of fit as measured by the Pearson coefficient.


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