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I've been looking at the equation for a logistic regression, which is normally given by

$logit(p_i)= \beta_0 + \sum_{j=1}^{k} \beta_j x_{ij}$.

All of the sources I've looked at don't state the residuals in the model equation. Why is this? Whenever we mention a linear regression equation, we always add $+\epsilon_{i}$ at the end.

Bill
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  • See https://stats.stackexchange.com/questions/251888/quadratic-term-in-logistic-regression/355690#355690 – kjetil b halvorsen Nov 16 '20 at 17:14
  • See https://stats.stackexchange.com/search?q=logistic+deviance+residual for information about the residuals in a logistic regression. – whuber Nov 16 '20 at 17:16

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