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

Discover how linear regression works, from simple to multiple linear regression, with step-by-step examples, graphs and real-world applications.

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.

Linear forecasting models can be used in both types of forecasting methods. In the case of causal methods, the causal model may consist of a linear regression with several explanatory variables.

I like google docs because it is in a webpage. However, it does lack one thing that both Open Office and Excel have - the 'trendline'. Trendline is a dumb word for linear regression fit. What is a ...

Relative importance of regressor variables is an old topic that still awaits a satisfactory solution. When interest is in attributing importance in linear regression, averaging over orderings methods ...

It only makes sense. I did linear regression in google docs and I did it for python. But what if you neither of those? Can you do it by hand? Why yes. Suppose I take the same data from the pylab ...