Bivariate statistical measures regression and linear correlation

Bivariate statistical measures regression and linear correlation

1. Linear regression and linear correlation are statistical methods that study the relationship linearity between two variables.

2. Linear regression

   • Study the statistical relationship between two continuous variables known as predictor and response variables.
     • Predictor variable
       • It is usually denoted as "x" and also is known as the independent variable.
     • Response variable
       • It is usually denoted as "and" and also is known as the dependent variable

3. Linear correlation

   • Also known as the linear correlation coefficient (of Pearson), is a regression measure that aims to quantify the degree of joint variation between two variables.
     • Correlation Types
       • Negative perfect correlation
         • When the "x" value rises, the "y" value rises, and also with the same intensity
       • There is no correlation
       • Positive perfect correlation
         • When the value "x" goes up, and the value "y" low, and also with the same intensity