R 2 (R-squared) is a statistical measure of the goodness of fit of a linear regression model (from 0.00 to 1.00), also known as the coefficient of determination.

Statistical texts written by geographers invariably illustrate and calculate the prediction limits about an estimated regression line as pairs of parallel lines. Such limits should be hyperbolic when ...

Linear models, generalized linear models, and nonlinear models are examples of parametric regression models because we know the function that describes the relationship between the response and ...

R. B. Davies, B. Hutton, The Effect of Errors in the Independent Variables in Linear Regression, Biometrika, Vol. 62, No. 2 (Aug., 1975), pp. 383-391 ...