Bivariate statistical measures regression and correlation

Bivariate statistical measures regression and correlation

1. They allow the joint analysis of two characteristics of the individuals of a population.

   • In order to detect possible relationships between them.

2. Linear regression

   • It is a method used to forecast or predict the value of one variable as a function of the given values ​​of the other.
     • Simple regression
       • Simple linear regression examines the relationship linear between two continuous variables: a response (Y) and a predictor (X).
     • Multiple regression
       • Multiple linear regression examines the linear relationships between a response continuous and two or more predictors.

3. Linear correlation

   • Determines the degree of relationship that exists between two variables.
     • Positive correlation
       • It occurs when increasing or decreasing the values ​​of the independent variable increases or those of the dependent variable decrease.
     • Negative correlation
       • Occurs when increasing the values ​​of the independent variable values ​​decrease of the dependent variable or vice versa.

4. They can be represented graphically on a Cartesian plane

   • Using a scatterplot