Bivariate statistical measures of regression and correlation

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includes the analysis of sample data to find out how two or more variables are related to each other in a town

Bivariate statistical measures of regression and correlation

regression

is used to derive an equation that relates the criterion variable to one or more predictor variables. In this, the frequency distribution of the criterion variable is considered when one or more of the prediction variables are kept fixed at various values.

determination coefficient Term used in regression analysis to denote the relative proportion of the total variation in the criterion variable that can be explained by the fitted regression equation.

It is established by means of a mathematical model that allows us to represent the set of observations through a straight, parabolic, exponential or any other type of line.

bivariate statistical measures

positive correlation and negative correlation

Dispersion diagram

regression

simple regression

simple linear correlation

coefficient of determination R2.

Topic principal

correlation

measures the closeness of the relationship between two or more variables considering the joint variation of the two measurements, neither of which is subject to restriction by the experimenter.

techniques that will allow us to establish the strength, the intensity of the relationship (correlation) between these variables.

Correlation coefficient Term used in regression analysis to designate the strength of the linear relationship between criterion and predictor variables.