Bivariate statistical measures

Bivariate statistical measures

1. analyzes the relationship of two or more variables

2. analyzes the relationship of two or more variables

   • when you analyze two variables this is known as a bivariate variable
     • Regression: it is a statistical technique that allows the change in one of the variables (response) corresponding to the explicit variable.
       • Regresion lineal simple: trata de explicar la relacion que existe entre la variable respuesta Y y una unica varible explicativa X
       • Simple regression: allows working with a variable at the interval or ratio level. In the same way it is possible to analyze the relationship between two or more variables through equations
       • Logistic regression: used to predict an outcome of a categorical variable (takes a limited number of categories) based on the independent or predictor variables

3. correlation: indicates the strength and direction of a linear relationship and proportionality between two statistical variables It is considered that two quantitative variables are correlated when the values ​​when one of them vary systematically with respect to the homonymous values ​​of the other if we have two variables A and B there is a correlation between them if when the values ​​of A decrease, those of B also decrease and vice versa