What insights can be derived from the coefficients of a logistic regression in predicting an event's probability?

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Anonymous · Accepted Answer

for logistic regression, we have the model log(p/1-p) = beta_0 + sum from i to k
of beta_i*x_i, so having a positive beta coefficient means that an increase in
log odds increases the probability of the outcome while a negative coefficient
means a decrease in log odds leads to a decreased porbability. larger absolute
values implies a stronger effect on the outcome.

What insights can be derived from the coefficients of a logistic regression in predicting an event's probability?

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