In statistics, a linear regression is an approach to model the relationship between a scalar dependent
variable y and one or more explanatory variables denoted x, and the correlation is a statistical measurement
that describes the dependence between both variables. .
This tool retrieves for the linear relationship between x and y values (the formula y= ax+b)
and the Pearson correlation coefficient (r) that describes the degree that linear dependence.
To use this tool, just include in the form x values and the dependent variables y.
Each value for x and y must be separated by a line break, and the same number of values for x and y are required.
Often, nonlinear relationships between two variables are linealized by applying to x or y values
their logaritm or squares. You may do it when required by checking the corresponding checkboxes.
