.. Time-stamp: <2018-07-16 18:10:41 ycopin>

.. _anscombeSol:

Quartet d'Anscombe
------------------

.. literalinclude:: anscombe.py
   :linenos:

::

  $ python3 anscombe.py

  ============== Dataset #1 ==============
  x: mean=9.00, variance=10.00
  y: mean=7.50, variance=3.75
  y vs. x: corrcoeff=0.82
  y vs. x: y = 0.50 x + 3.00
  ============== Dataset #2 ==============
  x: mean=9.00, variance=10.00
  y: mean=7.50, variance=3.75
  y vs. x: corrcoeff=0.82
  y vs. x: y = 0.50 x + 3.00
  ============== Dataset #3 ==============
  x: mean=9.00, variance=10.00
  y: mean=7.50, variance=3.75
  y vs. x: corrcoeff=0.82
  y vs. x: y = 0.50 x + 3.00
  ============== Dataset #4 ==============
  x: mean=9.00, variance=10.00
  y: mean=7.50, variance=3.75
  y vs. x: corrcoeff=0.82
  y vs. x: y = 0.50 x + 3.00

.. figure:: anscombe.*
   :align: center
   :width: 50%

**Source:** :download:`anscombe.py`