The purpose of this tutorial is to continue our exploration of regression by constructing linear models with two or more explanatory variables. This is an extension of Lesson 9. 10.1 Kitchen sink ...

You can write the multiple linear regression equation for a model with p explanatory variables as Y = b 0 + b 1 X 1 + b 2 X 2 + ... + b p X p. where Y is the response, or dependent, variable, the X s ...

In simple linear regression 1, we model how the mean of variable Y depends linearly on the value of a predictor variable X; this relationship is expressed as the conditional expectation E(Y|X ...

Multiple regression and regression diagnostics. Generalised linear models; the exponential family, the linear predictor, link functions, analysis of deviance, parameter estimation, deviance residuals.

A linear regression model can be created in Excel to make the process simpler. Article Sources. Investopedia requires writers to use primary sources to support their work.