Bivariate statistical measures mind map regression and correlation

Bivariate statistical measures mind map regression and correlation

1. REGRESSION

   • It is a statistical process to estimate the relationships between variables. Help to understand how the value of the dependent variable varies by changing the value of one of the independent variables
     • Regression simple linear
       • consists of generating a regression model (equation of a straight line) that allows explaining the linear relationship that exists between two variables
         • The simple linear regression model is described according to the equation:
     • Multiple Regression
       • It allows generating a linear model in which the value of the variable dependent or response (Y ) is determined from a set of independent variables called predictors (X1 , X2 , X3 …)
         • Multiple linear models follow the following equation:

2. CORRELATION

   • Indicates the strength and direction of a linear relationship and proportionality between two statistical variabless
     • Coeficiente de Correlación de Person
       • is a statistical measure that shows the strength of the linear relationship between two variables, and always lies between -1 and +1. When the coefficient is near 0 there is no linear relationship
         • Correlation negative
         • Correlation strong negative
         • No Correlation
         • Correlation No Linear
         • Correlation Positive
         • Correlation strong positive
     • coefficient of Correlation canonical
       • Its objective is to look for the relationships that may exist between two groups of variables and their validity. Canonical correlation predicts multiple variables dependents from multiple independents
     • coefficient of Correlation of Spearman
       • is a measure of correlation (the association or interdependence) between two variables random (both continuous and discrete)

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