Statistical easures bivariate

Statistical easures bivariate

1. The bivariate statistical measures allow us to analyze two sets of characteristics of the individuals of a population to reveal possible relationships between they

2. Correlation

   • Degree of correlation
     • Correlation type
       • Direct correlation
       • Inverse Correlation
       • Null Correlation
     • Strong Correlation
       • The correlation will be strong the closer they are points of the straight line.
     • Weak Correlation
       • Weak relationship when the more separated they are points of the line
     • Null Correlation
       • There is no type of pattern or relationship between them
   • Linear correlation coefficient
     • It consists between the covariance and the product
   • Correlation attempts to determine the relationship that exists between two variables in a distribution bivariate.

3. Regression

   • It is a statistical technique used to derive equations that relate a criterion variable with one or more predictor variables.
     • Multiple regression analysis
       • When two or more variables are used
     • Simple regression analysis
       • When using only one predictor variable
   • The regression line is the one that best fit cloud points and passes through the point (x,y) called centroid
     • Regression line of Y on X
     • Regression line of X on Y

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