# Definición Coefficient of correlation

In statistics, a coefficient of correlation reflects the strength and direction of a linear relationship or dependence between two cardinal or ordinal variables. The correlation coefficient always lies between -1 and +1. A value of -1 indicates an entirely negative correlation. A correlation coefficient cannot be calculated for a nominal scale.

An example:

Every day, a person spends \$100. At the end of day 10, the person has \$1,000 less Dollars in his wallet than on the first day. Between the variable 'possession of money' and 'day', there is a completely negative correlation.

The value +1 indicates an entirely positive correlation. In this case, the person would earn \$100 every day – so that on day 10, he would have earned \$1,000.

The value 0 indicates that there is no demonstrable relationship between two variables at all.

As a rule, one would speak of a statistically discernible interdependance, if values met or exceeded +0.6/-0.6.

Tenga en cuenta que las entradas de nuestro glosario son explicaciones simplificadas de términos estadísticos. Nuestro objetivo es hacerlo accesible para un público amplio, así que puede que algunas definiciones no cumplan los estándares científicos.