Statistical measures Bivariate regression and correlation

Statistical measures Bivariate regression and correlation

1. Analyzes the relationship of two or more continuous variables

2. Linear regression:

   • Estimation of a variable based on another known value

3. Simple linear regression:

   • Regression examines the relationship between two variables by restricting one of them with respect to the other, in order to study the variations of the first when the other remains constant.

4. Dispersion diagram:

   • A two-dimensional or bivariate distribution can be graphically represented on a Cartesian plane, set of points, or cloud of points. It is called a scatterplot, since the points are scattered on the Cartesian plane.

5. Correlation:

   • Seeks to determine the degree of relationship that exists between the two. It is calculated with the correlation coefficients

6. Positive correlation:

   • It is said that there is a positive linear correlation between two variables, if increasing or decreasing the values of the independent variable increase or decrease those of the dependent variable.

7. Negative correlation:

   • When increasing the values of the independent variable decrease the values of the dependent variable, or vice versa, it is said that the linear correlation is negative