## August 2, 2019

# Interpreting Logistic Regression Coefficients - Odds Ratios

The Logisitc Regression is a generalized linear model, which models the relationship between a dichotomous dependent outcome variable \(y\) and a set of independent response variables \(X\).
[…] The complete model looks like this:
\(Logit = ln(\frac{p(x)}{1 - p(x)}) = \beta_0 + \beta_1x_i\) …
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