Statistical measures Bivariate regression and correction

Statistical measures Bivariate regression and correction

1. Regression

   • The regression term was originally used by Galton
   • Indicates certain relationships
     • In the theory of biological inheritance

2. Regression Analysis

   • Gives rise to a mathematical equation
   • That allows us to describe the relationship between two variables.
     • get an “ideal” line
   • known as a regression line
     • which describes the relationship or dependence between two variables.

3. simple linear regression

   • understands the attempt to develop a straight line
   • linear mathematical equation that describes the relationship between two variables.
     • 1. The slope of the line
     • 2. The location of the line at some point

4. correlation

   • Describes the degree or strength with which this relationship occurs
   • for this we will use a measure known as the correlation coefficient or Pearson's correlation.

5. correlation analysis

   • Allows us to measure the strength of association between two variables
   • regression analysis allows the prediction, that is, the estimation of a value or average of a so-called dependent variable
   • based on a supposedly known value or average for the other variable, called independent.

6. The Linear Correlation Measure

   • commonly used in statistics is the "beloved Pearson Correlation Coefficient between 'y' and 'x'.

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