Regressions allow you to validate a correlation while allowing to identify the equation that connects the data and thus predict behaviors. Introduction Regressions are mathematical tools to study the behavior of variables between them. These are tools used to predict...
Simple linear regressions are used to identify a correlation between 2 variables and to quantify this relationship. Introduction Simple linear regressions can predict the behavior of one variable by another. It is a powerful tool for analyzing cause-to-effect...
In many cases we have clear correlations and yet we do not know how to quantify them because they are nonlinear. Introduction The Simple linear regressions Are specific cases that apply only if the data follows a logic Y = AX + B. But in many cases, we can have...
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. Introduction We have seen a Simple linear regression is to predict the...
Logistic regression is a mathematical model for defining a regression model when the variable to be explained is qualitative. Introduction Logistic regression is a mathematical model for defining a regression model when the variable to be explained is qualitative. For...