Part IV
Looking for Relationships with Correlation and Regression
Illustration by Wiley, Composition Services Graphics
In this part . . .
Understand what correlation and regression are. (Simply stated: Correlation refers to the strength of the relationship between two variables, and regression refers to a set of techniques for describing the relationship between two variables.)
Get a handle on the simplest kind of regression — fitting a straight line to your data.
Do regression analysis when there’s more than one predictor variable. (As you may guess, this type of regression is called multiple regression.)
Predict a yes-or-no outcome with logistic regression, and assess sensitivity and specificity with ROC curves.
Find out about other useful kinds of regression ...