Question

In logistic regression, instead of using Y as the dependent variable, one can use a function of it, which is called the logit. O True False

Answer 1

Logistic regression uses the logit function instead of the dependent variable Y. The logit function transforms the dependent variable into a continuous scale.

Step-by-step explanation:

In logistic regression, the logit function is used instead of using the dependent variable, Y. The logit function is defined as the natural logarithm of the odds of success, where the odds represent the probability of success divided by the probability of failure.

The logit function is useful in logistic regression because it transforms the dependent variable into a continuous scale that ranges from negative infinity to positive infinity, allowing for a linear relationship between the independent variables and the logit function.

For example, if we have a binary outcome variable like 'pass' or 'fail', we can use logistic regression to model the probability of passing based on different independent variables.