35517157
Description
Bivariate statistical measures
REGRESSION AND CORRELATION
- These two variables are related, such as weight and height, income and expenses, production and
consumption, etc. It is important to establish the relationship between them, this procedure is called
regression and correlation analysis, and to be able to evaluate one of them based on the other.
- The relationship that exists between the two variants is classified as
- Unilateral causal dependence
- Interdependence
- Indirect dependence:
- Concordance
- Causal covariation:
- when the correlation that occurs between
the two variables is completely causal or
accidental.
- when the correlation that occurs between
the two variables is completely causal or
accidental.
- it is presented in two independent variables
which are called the correlation that may
exist.
- Causal covariation:
- when two variants can show a correlation
through a third variable that influences
each other.
- Concordance
- when the influence between the two
variants is reciprocal, bilateral
dependence.
- Indirect dependence:
- when one of the variables influences the
other, but not vice versa
- Interdependence
- Unilateral causal dependence
- Regression
- Statistical method developed to investigate such
relationships, term was used by Galton to indicate the
relationships of biological inheritance
- Regression analysis
- Mathematical equation that allows us to describe the relationship
between two variants, obtain a line known as the regression line
that describes the relationship or dependency between two
variants
- Mathematical equation that allows us to describe the relationship
between two variants, obtain a line known as the regression line
that describes the relationship or dependency between two
variants
- Regression analysis
- Statistical method developed to investigate such
relationships, term was used by Galton to indicate the
relationships of biological inheritance
- Correlation
- Statistical measure that expresses to what extent two
variables are linearly related.
- Correlation analysis
- Describes the degree of strength with which this relationship
occurs, a measure known as the correlation coefficient or Pearson
correlation is used. It allows to measure the strength of
association between two variables, and to know the value or
known average for the other variable called independent.
- Describes the degree of strength with which this relationship
occurs, a measure known as the correlation coefficient or Pearson
correlation is used. It allows to measure the strength of
association between two variables, and to know the value or
known average for the other variable called independent.
- Correlation analysis
- Statistical measure that expresses to what extent two
variables are linearly related.
- The line or mathematical function in the case of an independent or
explanatory variable, with these functions most of the situations that
arise in daily life can be solved and can be expressed through
- Line or linear function
- Parable of the second degree
- Parable of the second degree
- Potential function
- Potential function
- Parable of the second degree
- Parable of the second degree
- Line or linear function
- The relationship that exists between the two variants is classified as
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