The regression of y on x is a statistical method that calculates the relationship between two variables - one independent and one dependent. Other synonyms for this term include linear regression, simple regression, or ordinary least squares regression. These descriptions all refer to the same concept, which involves identifying a straight line that best fits the data points in a scatterplot. The resulting line can be used to predict the value of y for a given x. Other statistical methods related to the regression of y on x include multiple regression, polynomial regression, and logistic regression, which allow for more complex relationships between variables to be modeled.