Bivariate statistical measures

Bivariate statistical measures

1. Coefficient of determination R2

   • The measure or percentage of the relationship between variables by which the confidence of a model or study can be determined.

2. Simple linear correlation

   • "It is the strength of association between two variables for that measures such as the correlation coefficient or Pearson's correlation are used." (Martínez, 2011, pág. 571)

3. Positive correlation

   • It is called positive correlation when the result of R is positive, which means that the values of the variables increase

4. Negative correlation

   • It is called negative correlation when the result of R is negative, meaning that one variable increases while the other decreases.

5. Scatter diagram

   • Es un diagrama grafico el cual permite realizar análisis de estudios a través de un conjunto de datos, el cual determina la relación entre las variables estudiadas

6. Regression

   • Calculates the relationship between dependent variables and independent variables in a study.

7. Simple regression

   • Through the independent variable predicts the value of the other variable

8. Multiple regression

   • Allows analysis to establish whether there is a relationship between a dependent variable and two or more independent variables.

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