Statistical measures Bivariate regression and correlation

Statistical measures Bivariate regression and correlation

1. regression measures

   • Concept
     • They allow the joint analysis of two characteristics of the individuals of a population, with the purpose of discovering the possible relationships between them.
   • Covers the following topics
     • Simple linear regression
       • examines the regression between two variants, restricting one of them with respect to the other In order to study the variations of the other
     • Simple or rectilinear regression
       • Simple regression is a methodology “that allows obtaining equations, where only two variables are involved: one dependent or predicting and another independent or predicting.
     • Linear regression and correlation
       • “regression analysis consists of using methods that allow determining the best functional relationship between two or more concomitant (or related) variables, and correlation analysis, the degree of association between them”

2. Correlation analysis

   • Concept
     • It allows us to specify the degree of association between the variables that are studied to determine to what extent a linear equation or another type adequately describes or explains the relationship between variables.
   • Correlation classes
     • Considering the number of variables
       • simple correlation
       • multiple correlation
       • partial correlation
     • Looking at the form of the function
     • Considering the relationship of variables
       • Direct or positive correlation
       • Inverse or negative correlation

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