This article was posted by S. Richter-Walsh. A Brief Introduction: Linear regression is a classic supervised statistical technique for predictive modelling which is based on the linear hypothesis: y = mx + c where y is the response or outcome variable, m is the gradient of the linear trend-line, x is the predictor variable and c is the intercept. The intercept is the point on the y-axis where the value of… Read More »Implementing the Gradient Descent Algorithm in R