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1 – Regression Studies

Regressions allow you to validate a correlation while allowing to identify the equation that connects the data and thus predict behaviors.

3 – Monotonous regressions

In many cases we have clear correlations and yet we do not know how to quantify them because they are nonlinear.

4 – Multiple regressions

A phenomenon rarely has a single root cause. Often we are faced with a multitude of parameters having a more or less strong influence on the result. That is the whole issue of multiple regressions.

5 – Logistic regression

Logistic regression is a mathematical model for defining a regression model when the variable to be explained is qualitative.

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