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

In the example below, I use an e-commerce data set to build a regression model. I also explain how to determine if the model reveals anything statistically significant, as well as how outliers may ...

Topics covered will include the assumptions of simple and multiple linear regression, interpretation of the model, and model selection. Graphical methods useful for understanding relationships and ...

Some models, such as linear regression, are easily interpretable, but inflexible, in that they don't capture many real-world relationships accurately. Other models, such as neural networks, are quite ...

Elise Dusseldorp, Claudio Conversano, Bart Jan Van Os, Combining an Additive and Tree-Based Regression Model Simultaneously: STIMA, Journal of Computational and Graphical Statistics, Vol. 19, No. 3 ...

In regression problems alternative criteria of "best fit" to least squares are least absolute deviations and least maximum deviations. In this paper it is noted that linear programming techniques may ...