Page 21 - Math SL HB Sem 3
P. 21

Scatter Diagrams, Correlations and

                                                 Line of best fit

                           - whether  two variables are related and how strong the relationship is...


                   Scatter diagrams:
                  Adata set that consists  of two variables in each observation is called bivariate  data.


                   \. Example:

                    Nine students  ioined  an investigation  in which their head circumferences  and their body heights
                    are measured.
                                Stude nts                    B     C     D      E     F     G     H
                                               /
                     Circumferences  of heads  (x)  cm  44.3  48.7  47 .5  45.0  43.1  44.2  48.0  42.6  47 .0
                             Heights  (y)/cm                IOJ   170   165    160   toz   164   151    '167




                  To see whether and to what extent the two variables (the circumferences of head and heights of
                  students)  are related,  a scatter  diagram  is plotted.  The  pattern  of points shows us to which  types of
                  correlation,  if at all, the two variables  belong.

                                                s.rtter di.gram  5howlng  helghts  et.ln3t  head drcumter€nces
                                            175
                                            170
                                            165
                                          i,*
                                          E
                                            155
                                          -E
                                            150
                                            145
                                            t40
                                               42  43  44  45  45  47  48  49        50
                                                           Head cimc!mleren.e'  /.m

                   Types of correlation:





                       v                             v                            v

                                                               x
                                lt
                                                                     I
                            It                                 x
                                                                    x
                                                                                                  T
                                              x                             x                            x
                         High  positive  linear correla6on  No correlation         Hlgh n  tive linear correlation

                   imply      asI   I      v t                                imply     a5 .t  t     v I




                    v                             v                           v
                               tx                        tt,





                                           x                             .x                          x

                      Low positive  linear correlation  No linear correlation   Low negative linear correlation



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