Example: stock market
INTRODUCTION TO BINARY LOGISTIC REGRESSION
The Logit Transformation So what can we do? As I mentioned earlier, many topics of interest are dichotomous. Logistic regression uses the logit transformation to linearize the non-linear relationship between X and the probability of Y. It does this through the use of odds and logarithms. So, the logit is a
Download INTRODUCTION TO BINARY LOGISTIC REGRESSION
Information
Domain:
Source:
Link to this page: