homoscedastic

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homoscedastic

[‚hä·mō·skə¦das·tik]
(statistics)
Pertaining to two or more distributions whose variances are equal.
Pertaining to a variate in a bivariate distribution whose variance is the same for all values of the other variate.
McGraw-Hill Dictionary of Scientific & Technical Terms, 6E, Copyright © 2003 by The McGraw-Hill Companies, Inc.
References in periodicals archive ?
The assumption of homoscedasticity or homogeneity of variance is that the standard deviations of errors are approximately the same for all predicted DV scores that are presented in these Figures.
After checking the assumptions, such as outliers, normality, linearity, homoscedasticity and independence of residuals, multiple regression was run.
There was homoscedasticity, as assessed by visual inspection of a plot of standardized residuals versus standardized predicted values for all groups.
Thus, it can be said that the regression techniques can be applied to the series and the estimators of OLS will be consistent, always bearing in mind that the usual tests for the presence of normality and homoscedasticity still need to be verified.
Secondly, the homoscedasticity assumption was also violated as demonstrated by the statistical significance of Breusch-Pagan test.
Again, assumptions of normality, linearity, multicollinearity, and homoscedasticity were evaluated, and no violations were observed.
Residual normality and homoscedasticity were analyzed with the PROC UNIVARIATE procedure of the SAS program (SAS Institute, 2002).
The variance inflation factor (VIF) was calculated along with the tolerance measure to verify the multicollinearity assumption, and the Breusch-Pagan test was used to verify the residual homoscedasticity assumption in the regression models.