Bivariate and multivariate data
There are several nonparametric methods for correlation and regression. We consider first the bivariate case where methods are generally applied to a sample of bivariate observations (x i , y i ), i = 1, 2,..., n that are at least ordinal. If they are measurements or counts we sometimes convert these to ranks and, in the case of correlation, base our statistics on these ranks. Depending on the precise problem, procedures for regression will sometimes use ranks and sometimes the original observations.
KeywordsMultivariate Data Robust Method Suitable Computer Program Bivariate Case Customer Complaint
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