In Chapter 12 you learn simple (bivariate) correlation and regression. You discover how to use the R functions for correlation and regression and how to calculate and interpret correlation coefficients and regression equations. You also learn about fitting a curvilinear model and about confidence and prediction intervals for regression models. In Chapter 13, we will build on what you learn here, with multiple correlation and regression. In Chapter 13, you will also learn that ANOVAs and t tests are special cases of regression. All these techniques are based on the same underlying general linear model.
KeywordsQuadratic Model Prediction Interval Plot Function Positive Covariance Negative Covariance
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