• r2=(correlation)2 is the proportion of the variation in the y-values that is explained by the regression of y on x.
  • The bigger r2=(correlation)2 is, the better the regression line fits the data.
  • Which variable “x” represents, and which variable “y” represents doesn’t affect r2.