Part IV

Looking for Relationships with Correlation and Regression

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In this part . . .

check  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.)

check  Get a handle on the simplest kind of regression — fitting a straight line to your data.

check  Do regression analysis when there’s more than one predictor variable. (As you may guess, this type of regression is called multiple regression.)

check  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 ...

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