Home » Social Sciences » Management » The Analytics Edge (Spring 2017) (M-I-T) » Unit 3: Logistic Regression (M-I-T) » 3.4 Election Forecasting: Predicting the Winner Before any Votes are Cast (Recitation) (M-I-T) » 3.4.5 Video 4: Logistic Regression Models (M-I-T)

3.4.5 Video 4: Logistic Regression Models (M-I-T)

Course:3.4 Election Forecasting: Predicting the Winner Before any Votes are Cast (Recitation) (M-I-T)
Discipline:Social Sciences
Institute:MIT
Instructor(s): John Siberholz
Level:Graduate

3.4 Election Forecasting: Predicting the Winner Before any Votes are Cast (Recitation) (M-I-T)