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 ...

Several different names are used to describe ARIMA models with input series. Transfer function model, intervention model, interrupted time series model, regression model with ARMA errors, Box-Tiao ...

At times it is desirable to have independent variables in the model that are qualitative rather than quantitative. This is easily handled in a regression framework. Regression uses qualitative ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of linear regression with two-way interactions between predictor variables. Compared to standard linear ...

We say there is a regression relationship between X and Y when the mean of Y varies with X. In simple regression, there is one independent variable, X, and one dependent variable, Y.

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.

One common problem in the use of multiple linear or logistic regression when analysing clinical data is the occurrence of explanatory variables (covariates) which are not independent, ie ...

Understanding one of the most important types of data analysis.