The simplest form of regression in Python is, well, simple linear regression. With simple linear regression, you're trying to ...

In linear regression, when there's just a single independent variable, the analysis is sometimes called simple linear regression to distinguish the analysis from situations where there are two or more ...

Before building my model, I want to step back to offer an easy-to-understand definition of linear regression and why it’s vital to analyzing data. What is linear regression?

Using Linear Regression Because much economic data has cycles, multiple trends and non-linearity, simple linear regression is often inappropriate for time-series work, according to Yale University.

Learn how to perform regression analysis of your data in Microsoft Excel, a statistical process that helps you understand the relationship ...

We propose nonparametric methods for functional linear regression which are designed for sparse longitudinal data, where both the predictor and response are functions of a covariate such as time.

Course TopicsLinear models, generalized linear models, and nonlinear models are examples of parametric regression models because we know the function that describes the relationship between the ...

Zhiliang Ying, A Large Sample Study of Rank Estimation for Censored Regression Data, The Annals of Statistics, Vol. 21, No. 1 (Mar., 1993), pp. 76-99 ...

Nonlinear regression is a form of regression analysis in which data is fit to a model and then expressed as a mathematical function. Simple linear regression relates two variables (X and Y) with a ...