Question

Why do we use pearson correlation in logistic regression?

Answer 1

Regression equations are usedwhen the researcher wants to useone or more independent variables to predict a metric scaled dependent variable. Logistic regression is used when the researcher wants to use one or more independent variables to predict a dichotomous dependent variable.

Answer 2

This type of analysis can help you predict the likelihood of an event happening or a choice being made. For example, you may want to know the likelihood of a visitor choosing an offer made on your website — or not (dependent variable). Your analysis can look at known characteristics of visitors, such as sites they came from, repeat visits to your site, behavior on your site (independent variables). Logistic regression models help you determine a probability of what type of visitors are likely to accept the offer — or not. As a result, you can make better decisions about promoting your offer or making decisions about the offer itself.