21MULTIPLE LINEAR REGRESSION
Multiple linear regression is a straightforward generalization of the single-predictor models discussed in the previous chapter. It allows you to model your continuous response variable in terms of more than one predictor so you can measure the joint effect of several explanatory variables on the response variable. In this chapter, you’ll see how to model your response variable in this way, and you’ll use R to fit the model using least-squares. You’ll also explore other key statistical aspects of linear modeling in the R environment, such as transforming variables and including interactive effects.
Multiple linear ...
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