Machine Learning with R Cookbook - Second Edition

How it works...

The regression model has the response ~ terms form, where response is the response vector, and terms is a series of terms that specifies a predictor. We can illustrate a simple regression model with the formula y=α+βx, where α is the intercept while the slope, β, describes the change in y when x changes. By using the least squares method, we can estimate and (where indicates the mean value of y and denotes the mean value of x).

To perform linear regression, we first prepare the data that has a linear relationship between the predictor variable and response variable. In this example, we load Anscombe's quartet dataset from the package car. Within the dataset, the x and y1 variables have a linear relationship, and we prepare ...