bivariate statistical measures

bivariate statistical measures

1. allow

   • the analysis of the set of two variables with the purpose of detecting a relationship between them

2. covariance of two random variables X or Y

   • indicates whether the variable relationship is direct or inverse
   • the sign of the covariance indicates that the cloud of points is increasing or not, but it does not indicate the degree of the relationship between the variables

3. Regression

   • Analysis model
     • deterministic: the independent variable can be a mathematical function of the independent variables
     • statistical: allows the incorporation of a aleatory component in the relationship
     • standardized: the slope indicates whether there is a relationship between two variables
   • are characterized by:
     • They use methods that allow determining the best working relationship between two or more variables.
     • produces estimates for the slope and intercept of the linear equation that predicts an outcome variable Y based on the values of a predictor variable X
     • estimates the parameters of a linear equation that can be used to predict the values of one variable as a function of the other

4. correlation

   • indicates whether there is a relationship between two variables
     • interval scale
     • measures closeness
   • linear correlation coefficient
     • if the points have a tendency to line up
     • determines if there is a relationship between two variables
   • it is characterized by:
     • Provide information about the strengths and direction of the linear relationship between two or more variables
     • studies the degree of association between two or more variables