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Chapter 10: Regression and Correlation

Chapter 10: Regression and Correlation 343 Chapter 10: Regression and Correlation The previous Chapter looked at comparing populations to see if there is a difference between the two. That involved two random variables that are similar measures. This Chapter will look at two random variables that are not similar measures, and see if there is a relationship between the two variables. To do this, you look at Regression , which finds the linear relationship, and Correlation , which measures the strength of a linear relationship. Please note: there are many other types of relationships besides linear that can be found for the data. This book will only explore linear, but realize that there are other relationships that can be used to describe data. Section : Regression When comparing two different variables, two questions come to mind: Is there a relationship between two variables? and How strong is that relationship? These questions can be answered using Regression and Correlation .

Chapter 10: Regression and Correlation 346 The independent variable, also called the explanatory variable or predictor variable, is the x-value in the equation.The independent variable is the one that you use to predict what the other variable is. The dependent variable depends on what independent value you pick.

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