Homoskedastic

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Homoskedastic

Describing a sequence of variables where each variable has the same or a very similar variance. Homoskedasticity is often assumed in statistics but is not always true. See also: Heteroskedastic.
References in periodicals archive ?
Furthermore, this study highlighted that the PII scale has no homoscedasticity characteristics, which shows the need to critically evaluate the composition of the scale items.
At this juncture, the author tested for homoscedasticity of the regression outcomes by employing White's test.
Tables 1 and 2 (referring to sapwood and heartwood, respectively) show the values obtained in the verification tests for normality and homoscedasticity.
K, 1984, "Efficient Tests for Normality Homoscedasticity and Independence of Regression Residuals", Economic Letter, 6, 255-259.
2) The null hypothesis of homoscedasticity is rejected at the 5 percent and even at 1 percent level, suggesting the presence of heteroscedasticity in each group of data set.
The assumptions underpinning the use of regression were all met (ratio of cases to independent variables, outliers, multicollinearity and singularity, normality, linearity, homoscedasticity and independence of residuals) (Coakes & Steed 2001).
pfmdr1 copy number was inverse transformed to meet assumptions of normality and homoscedasticity.
As a result of the evaluation of assumptions it was determined that a transformation of data was required for the hours per week variable to improve normality, linearity, and homoscedasticity of residuals.
The assumption of normality and the assumption of homoscedasticity were violated for the criterion variable of educational aspirations.
The 72-h data that exhibited unequal variances were transformed using a natural log function to achieve homoscedasticity.
Multivariate normality and homoscedasticity were examined by observing a scatter plot of standardized residual and the standardized predicted value (Tabachnick & Fidell, 2001).
Evaluations of linearity, normality, homoscedasticity, and multicollinearity showed that the assumptions were met within acceptable limits.