A ROBUST GOODNESS-OF-FIT TEST STATISTIC WITH APPLICATION TO ORDINAL REGRESSION-MODELS

We propose a goodness-of-fit test statistic for linear regression with heterogeneous variance, which is asymptotically chi-square if the giv en model is correct. The test statistic is computed as a quadratic for m of observed minus predicted responses. We apply the method to a line ar regression for an ordinal categorical response, the wheezing status of a child (no wheeze, wheeze with cold, wheeze apart from cold) as a function of maternal smoking and city of residence.