What does the bias term represent in logistic regression

Wikipedia logistic regression. In logistic regression, the predictors are assumed to have a linear relationship with the log odds of the "success" outcome. For example, if [math]\beta_1[/math] in equation above is 3, then the log odds would be increased by 3 (on average) for each increase in 1 unit of [math]x_1[/math] . To see what the bias term [math]\beta_0[/math] represents, simply set all [math]x_i[/math] to 0. The resulting log odds is the bias term. In other words, the bias term is the "default" log odds for the case that all predictors equal 0 (or equal to reference value for categorical predictors).