Advanced Machine Learning with R

Univariate linear regression

We begin by looking at a simple way to predict a quantitative response, Y, with one predictor variable, x, assuming that Y has a linear relationship with x. The model for this can be written as follows:

We can state it as the expected value of Y is a function of the parameters  (the intercept) plus  (the slope) times x, plus an error term e. The least squares approach chooses the model parameters that minimize the ...