Widersprüchliche Rangfolge: Gruppenmittelwerte vs. nominale logistische Regression
We have four categories, each with 1000 (continuous) responses.
The order for the average response A < B < C << D.
The order obtained by nominal logistic regression: A < C < B << D.
(The difference between means B and C is 1.64%).
I understand that nominal logistic regression is based on likelihood ratios for different rankings,<BR />but it is still puzzling to me that the same dataset yields a different order when the dependent and<BR />independent variables are reversed i.e. response as f (category) versus category as f (response).
Analytik
