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statistical measures regression bivariates and correlation
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statistical measures regression bivariates and correlation
statistical techniques bivariates allow analysis set of two features of individuals in a population for the purpose of detecting possible relationships between them.
It covers the following topics: Linear regression - Correlation - Dispersion diagram.
Regression
- We use the word regression to signify the estimate of a variable based on another value unknown, corresponding to the another variable.
Correlation
- The correlation between two variables seeks to determine the degree of relationship that exists between the two of them. It is calculated with the coefficients of correlation
- Correlation positive
- It is said that there is a correlation positive linear between two variables, if by increasing or decreasing the values of the independent variable increase or decrease those of the dependent variable
- Correlation negative
- When increasing the values of the independent variable decrease the values of the dependent variable or vice versa, The linear correlation is said to be negative
- Correlation positive
- The correlation between two variables seeks to determine the degree of relationship that exists between the two of them. It is calculated with the coefficients of correlation
Informações
- Descrição
- Mapa Mental sobre statistical measures regression bivariates and correlation, criado por Angie Delgado em 15-11-2022.
- Criado por
- Angie Delgado
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