Anscombe

The <code>Anscombe</code> data frame has 51 rows and 4 columns.
The observations are the U. S. states plus Washington, D. C. in 1970.

datasets

This package contains mostly functions for applied regession, linear models, and
  generalized linear models, with an emphasis on regression diagnostics, particularly 
  graphical diagnostic methods. There are also some utility functions. 
  With some exceptions, I have tried not to duplicate capabilities in the basic distribution of R, 
  nor in widely used packages. Some of the functions in car will use functions
  in the MASS package, if it is present; the plot.subsets function graphs
  objects produced by the regsubsets function in the leaps package. Where relevant, the functions in
  car are consistent with na.action = na.omit or na.exclude.

John Fox

Companion to Applied Regression

Anscombe function

Anscombe, F. J. (1981)
  <em>Computing in Statistical Science Through APL</em>. Springer-Verlag.

Anscombe: U. S. State Public-School Expenditures

Description

Usage

Arguments

source

References