Lowess (Locally Weighted Scatterplot Smoothing)

Lowess, or Locally Weighted Scatterplot Smoothing, is a statistical technique that helps reveal patterns in data points by creating a smooth line through them. It works by focusing on small neighborhoods around each data point and fitting simple models that give more importance to nearby points. This approach produces a flexible and natural-looking curve that summarizes the overall trend without rigid assumptions. Lowess is useful for visualizing relationships in data, especially when the pattern isn’t strictly linear, providing clearer insights into complex data behaviors while maintaining local detail.