Homoscedasticity - reasons for screening data, Advanced Statistics

Homoscedasticity - Reasons for Screening Data

Homoscedasticity is the assumption that the variability in scores for a continuous variable is roughly the same at all values of another continuous variable.

1. In the bivariate case, this is referred to as homogeneity of variances. Usually the Leven's test is the tool to assess the homogeneity of variances. This test is used to assess the hypothesis that assumes samples of observations come from populations from the same variances. Therefore rejecting it would imply heterogeneity of variances.

2. In multivariate analysis this is referred to Homoscedasticity. Homoscedasticity is related to the assumption of multivariate normality. Therefore bivariate scatterplots could be used to detect heteroscedasticity. Heteroscedastic relationship could also mean that one of the variables in the group of variables to be analyzed has a relationship with the transformation of the other variable.

Posted Date: 3/4/2013 6:38:07 AM | Location : United States







Related Discussions:- Homoscedasticity - reasons for screening data, Assignment Help, Ask Question on Homoscedasticity - reasons for screening data, Get Answer, Expert's Help, Homoscedasticity - reasons for screening data Discussions

Write discussion on Homoscedasticity - reasons for screening data
Your posts are moderated
Related Questions

This term is sometimes used for the data collected in those longitudinal studies in which more than the single response variable is recorded for each subject on each occasion. For


1) Has smartphones affected the consumer behavior? If so How ? And how is it going to change in future? 2) Forecasting of Mobile market (Time series analysis) 3) Comparison of fou

There are two periods. You observe that Jack consumes 100 apples in period t = 0, and 120 apples in period t = 1. That is, (c 0 ; c 1 ) = (100; 120) Suppose Jack has the util

Attitude scaling : The process of analysing the positions of the individuals on scales purporting to measure attitudes, for instance a liberal-conservative scale, ora risk-willingn

Mortality odds ratio  is the ratio equivalent to the odds ratio used in case-control studies where the equivalent of the cases are deaths from the cause of interest and the equival

Suppose we estimate the following model: Passengersi = 1 + 2Populationi + ui a) Generate a scatter plot with passengers on the vertical axis and population on the horizonta

Comparative exposure rate : A measure of alliance for use in a matched case-control study, de?ned as the ratio of the number of case-control pairs, where the case has greater expos

HOW TO CONSTRUCT A BIVARIATE FREQUENCY DISTRIBUTION