Answer:
a number between −1 and +1 calculated so as to represent the linear dependence of two variables or sets of data.
Step-by-step explanation:
Formula[tex]Formular =\frac{\sum\left(x_{i}-\bar{x}\right)\left(y_{i}-\bar{y}\right)}{\sqrt{\sum\left(x_{i}-\bar{x}\right)^{2} \sum\left(y_{i}-\bar{y}\right)^{2}}}r = correlation coefficientx_{i} = values of the x-variable in a sample\bar{x} = mean of the values of the x-variabley_{i} = values of the y-variable in a sample\bar{y} = mean of the values of the y-variable[/tex]
