Deming's regression

Deming's regression is a statistical method used to analyze the relationship between two variables when both may have measurement errors. Unlike standard regression, which assumes only the dependent variable has errors, Deming's method accounts for inaccuracies in both variables. It finds the best-fit line that minimizes the combined errors, providing a more accurate estimate of the true relationship between the variables. This approach is often used in fields where measurements are imperfect, like scientific research and quality control, to better understand how two related quantities genuinely interact.