Introduction to Logistic Regression

This Blog entry is from the Linear Regression section in Learn Palisade.

Logistic regression is extremely similar to Linear Regression in the manner in which the output is presented as Constants and Independent Variable coefficients, except it’s role is to classify instead of forecast numeric values, this is to say that it is looking to predict the likelihood of a binary dependent variable outcome rather than that of a continuous dependent variable.

The file to be used in this example is contained in \Training\Data\FraudRisk and is titled FraudRisk.xslx.  Logistic Regression is a feature of StatTools and thus the starting point is to open the file, although do not at this stage load the file into the StatTools realm as a dataset.