Ononot — In a logistic regression model, logit(p) = \beta0 + \beta1 X

Guest Session: 1 Question Remaining. Create Account to save progress.

Inferential Statisticshard

0:00.0

In a logistic regression model, $logit(p) = \beta_0 + \beta_1 X$ , how is the effect of $X$ interpreted when the coefficient $\beta_1 = 0.5$ ?