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                     If H0 is true, then the ratio between the mean of SS(Reg) with mean of SS(Res)

                     will  has    F  distribution  with  degrees  of  freedom  of  numerator  is  p,  and  the
                     degrees of freedom of denominator is np-1 (proof can be found in Searle, 1971,

                     and Kshirsagar, 1983). So that the statistic used to test the above hypothesis is


                              SS ( Reg  / ) p
                     F =                                                                           (G.20)
                         SS (Re s  / ) n  −  ( +  ) 1
                                        p

                     Testing criteria:

                     To a certain significance level  testing used, H0 is accepted if

                     Fvalue < F (, p, n-p-1) or   P( F > Factual ) >  , otherwise H0 is rejected.


                     Worked Example 5.4:

                            An expriment was conducted in order to study the zise of squid eaten by

                     tuna. The regressor variables are characteristics of beak or mouth of the squid.

                     The regressor variables and response considered for the study are: (X1) Rostral
                     length in inches, (X2) Wing length in inches, (X3) Rostral to notch length, (X4)

                     Notch  to  wing  length,  (X5)  Width  in  inches,  and  (Y)  weight  in  pounds.  The

                     study  involved  measurements  and  weight  taken  22  specimen.  The  data  are

                     shown in Table  5.9. The model is given by

                      Y j = 0 + 1X1 j + 2 X2 j +3X3 j + 4 X4 j + 5 X5 j +  j

                     Test the significance of the regression model.

                     Worked Solution:
                            To test the significance of the regression model, formulated the following
                     hypothesis test.

                     H0 : 1 = 2  = 3 = 4  = 5 = 0

                     H1 :  j  0 , For the smallest one of the j.        j = 1, 2, 3, 4, 5.


                                                                 SS ( Reg  / ) p    41 . 602
                     In  Table 5.10 ,  given the statistic F =                    =         =  84 . 070
                                                                            p
                                                             SS (Re s  / ) n  −  ( +  ) 1  . 0  4948







                                   ~~* CHAPTER 5   THE MULTIPLE LINEAR REGRESSION MODEL *~~
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