Kernel Smoothing

Kernel smoothing is a statistical technique used to create a smooth curve from a set of data points. Imagine plotting points on a graph; kernel smoothing helps reveal the overall trend by averaging nearby points, giving more importance to closer ones. It uses a "kernel," a function that assigns weights to data points based on their distance from a target location. This process reduces noise and makes patterns clearer, helping us understand the underlying relationship between variables without being distracted by random fluctuations.