Logistic regression: Difference between revisions

Content deleted Content added
Line 229:
 
===Multiple explanatory variables===
If there are multiple explanatory variables, the above expression <math>\beta_0+\beta_1x</math> can be revised to <math>\beta_0+\beta_1x_1+\beta_2x_2+\cdots+\beta_mx_m = \beta_0+ \sum_{i=1}^m \beta_ix_i</math>. Then when this is used in the equation relating the log odds of a success to the values of the predictors, the linear regression will be a [[multiple regression]] with ''m'' explanators; the parameters <math>\beta_jbeta_i</math> for all <math>ji = 0, 1, 2, \dots, m</math> are all estimated.
 
Again, the more traditional equations are: