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Unit 9: Regression Analysis




          3.   The most likely marks in statistics when marks in economics are 30.              Notes
                                Marks in Eco. : 25 28 35 32 31 36 29 38 34 32
                                Marks in Stat. : 43 46 49 41 36 32 31 30 33 39
          Solution:
                                          Calculation  table

                                          .
                                                    31         41
                   25              43             6           2       12   36     4
                   28              46             3           5       15    9    25
                   35              49             4           8       32   16    64
                   32              41             1           0        0     1    0
                   31              36             0           5        0    0    25
                   36              32             5           9       45   25    81
                   29              31             2          10       20    4   100
                   38              30             7          11       77   49   121
                   34              33             3           8       24    9    64
                   32              39             1           2        2     1    4
                                                 10          30      123 150 488

          From the table, we have
                                       10                 30
                                X =31+    =32 and Y = 41-   =38.
                                       10                 10
          1.   The lines of regression
               (a)  Regression of Y on X

                               n   uv     u    v    1230 300
                            b                 2                  0.66
                                  n  u 2    u       1500 100



                                a =Y - bX     = 38 + 0.66 × 32 = 59.26
                         Regression equation is

                                       YC = 59.26 - 0.66X
               (b)  Regression of X on Y

                                n   uv     u    v    1230 300
                             d                                  0.23
                                              2     4880 900
                                  n   v 2    v

                                   c  X  dY  32 0.23 38  40.88
                         Regression equation is
                                       XC = 40.88 - 0.23Y








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