Correlation Coefficient - Statistics

Correlation. Correlation is a statistical technique that can show whether and how strongly pairs of variables are related. For example, height and weight are related; taller people tend to be heavier than shorter people. The relationship isn't perfect.

A simple way to have a better understanding of it, correlation is the result of the experiences between variables to justify the causes.

The main result of a correlation is called the correlation coefficient (or "r"). It ranges from -1.0 to +1.0. The closer r is to +1 or -1, the more closely the two variables are related.

Some examples:

Solução da violência urbana: reduzir número de padeiros! (The solution is for urban violence: reduce the number of bakers!)

Source (in Portuguese): https://www.escolaedti.com.br/planejamento-de-experimentos-entendendo-correlacao-e-causa/

Poverty, Race and Crime

Source: https://nationalvanguard.org/2016/02/poverty-race-and-crime/

How does weather affect crime rates?

Source: https://www.city-data.com/blog/28-weather-affect-crime-rates/