Bivariate measures Regression and Correlation

Bivariate measures Regression and Correlation

1. They allow to understand the analysis of the sample data to know how they are related between 2 or more variables in a population

2. correlation analysis

   • Produces a number that summarizes the degree of relationship between 2 variables
     • negative
       • 2 variables are correlated inversely (linear relationship with negative slope)
     • positive
       • 2 variables are correlated in a direct (linear) sense

3. regression analysis

   • It gives rise to a mathematical equation that describes this relationship.
     • multiple regression
       • Work with a variable at the reason level, analyzing the relationship between 2 or more variables through equations
     • Logistic regression
       • Predict the result of a categorical variable (variable that can take a limited number) in functions of independent variables
     • simple regression
       • relationship between response variable Y and a single explanatory variable X

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