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The residuals of a model are the actual values minus the predicted values. Many statistical models make assumptions about the error, which is estimated by the residuals.

7 votes
2 answers
964 views

Model errors, residuals and heteroscedasticity

In contrast, residuals are the difference between a sample and the estimated function value, which we do know. … Or, would it better to state that the variance in the residuals was modeled as a function of $X$? …
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9 votes
3 answers
6k views

Advice on explaining heterogeneity / heteroscedasticty

I am looking for any help, advice or tips in how to explain heterogeneity / heteroscedasticity to biologists in my department. In particular I want to explain why its important to look for it and deal …
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  • 679