Linear regression analyzes two separate variables in order to define a single relationship. In chart analysis, this refers to the variables of price and time.

This column discusses some of the issues, assumptions, and limitations of ordinary least squares (OLS) regression, illustrated using an extraordinary data set. Issues, assumptions, and limitations of ...

Nonlinear regression is a form of regression analysis in which data fit to a model is expressed as a mathematical function.

In addition, innovative validation techniques based on double logarithm function linear fitting have been proposed to overcome issues related to heteroscedasticity in calibration datasets.

Parametric versus Semi/nonparametric Regression Models Course Topics Linear models, generalized linear models, and nonlinear models are examples of parametric regression models because we know the ...