Bivariate statistical measures of regression and correlation

Lisää tämän kaltaisia

Scuba Divers

luonut Nicole Swartout

Validity and Reliability

luonut Kristine Komorowski

Listening

luonut Екатерина Нарывская

VARIABLES

luonut Naila Mis

Bivariate statistical measures of regression and correlation

Regression

Variable Types

Dependent variables:

are the attributes on which we want to measure changes or make predictions.

Independent variable:

they represent inputs or causes, that is, potential reasons for variation.

The regression allows to calculate a conditional (average) expectation.

Build a function that allows estimating the future value of the study variable.

Regression analysis is a process that analyzes the link between a dependent variable and one or more independent variables.

It is a tool frequently used in statistics, which allows to investigate the relationships between different quantitative dependent variables.

Correlation

degrees of correlation

null correlation:

here there is no type of pattern or relationship between them.

weak correlation:

it will be weak the further apart the points are on the line.

strong correlation:

the correlation will be strong the closer the points are to the line.

Correlation coefficient

It is a measure that allows knowing the degree of linear association between two quantitative variables (X, Y).

Correlation Types

Null correlation:

occurs when there is no dependency of any kind between the variables. In this case it is said that the variables are uncorrelated and the cloud of points has a rounded shape.

Inverse correlation:

occurs when increasing one of the variables, the other decreases. The line corresponding to the cloud of points of the distribution is a decreasing line.

Direct correlation:

occurs when increasing one of the variables, the other increases. The line corresponding to the cloud of points of the distribution is a growing line.

Goal

Tell us if there is a relationship between two (2) events. That is, a little about the nature of the relationships between variables.

It is any statistical relationship, causal or not, between two random variables or bivariate data.