Chapter 18
Getting Straight Talk on Straight-Line Regression
In This Chapter
Determining when to use straight-line regression
Grasping the theory
Doing straight-line regression and making sense of the output
Watching for things that can go wrong
Estimating the sample size you need
Chapter 17 talks about regression analyses in a general way. This chapter focuses on the simplest kind of regression analysis: straight-line regression. You can visualize it as “fitting” a straight line to the points in a scatter plot from a set of data involving just two variables. Those two variables are generally referred to as X and Y.
The X variable is formally called the independent variable (or the predictor or cause).
The Y variable is called the dependent variable (or the outcome or effect).
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