Bivariate statistical measures

Bivariate statistical measures

1. Regression

   • Frequently used statistical tools
     • Allows the addition of a related character component to identify the relationship between two variants.
   • Linear regression
     • Based on the alignment coefficient, R is determinative to identify if two variables are related.
   • Simple regression
     • It is a statistical technique that allows us to quantify the relationship between two or more variables and also to be able to predict the values ​​of a dependent variable from the values ​​of the independent variable.
   • Regression analysis
     • A mathematical equation that allows us to obtain the relationship between variables.

2. Correlation

   • Correlation is a type of association between two numerical variables, specifically evaluating the trend (increasing or decreasing) in the data.
   • Interpretation
     • La correlación nos permite medir el signo y magnitud de la tendencia entre dos variables.
   • Effect size
     • The effect size is a measure of the strength or magnitude of a phenomenon. The correlation coefficient is a measure of the effect size for the (linear) relationship between two numerical variables.
   • Linear correlation coefficient of Person
     • Which is used to quantify linear trends, and the Spearman correlation coefficient which is used for increasing or decreasing trends, not necessarily linear but monotonic

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