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Rank-based regression in Excel

This tutorial shows how to run a rank-based regression in Excel using the XLSTAT-R engine.

What is rank-based regression?

Rank-based regression allows estimating rank-based coefficients for linear models. Those estimations are considered to be more robust with regards to outliers compared to more classical estimation approaches. The Rank-based regression function developed in XLSTAT-R calls the rfit function from the Rfit package in R (John Kloke).

Data set for launching a rank-based regression in XLSTAT-R

The data corresponds to the data used in the XLSTAT ANCOVA tutorial: Download the data## Setting up a rank-based regression in XLSTAT-R

Open R / Rfit / Rank-Based Regression XLSTAT-R Menu rank based regression rfit​ Fill in the general tab as follows: XLSTAT-R Rfit filling out the general tab Activate the Interactions option in the Options tab. XLSTAT-R Rank-Based Regression, Options tab Click OK. In the dialog box that appears, select the terms you want to include in the model: XLSTAT-R Rank-Based regression, factors and interactions dialog box Select the terms you want to keep and click OK. Interpret the results. XLSTAT-R Rank Based regression coefficients XLSTAT-R Rank Based Regression Coefficients Chart

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