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CPS1283 Kelvin H.C.Y et al.
            the Generalized Linear Model computes the corresponding parameters based
            on the individual characteristics of these rating factors.

            3.  Results
            Motor
                A sample hypothetical output of the Generalized Linear Model is shown
            below:
                Base Premium:            $ 850
                Rating Factor 1 – Gender
                    Male                     1.000
                    Female               0.975
                Rating Factor 2 – Age
                    Below 25             1.250
                    26yrs – 30yrs        1.150
                    31yrs – 35yrs        1.125
                    36yrs – 40yrs        1.000
                    41yrs – 45yrs        1.005
                    46yrs – 50yrs        1.010
                    51yrs – 55yrs        1.005
                    56yrs – 60yrs        0.995
                    Above 60yrs          0.988
                Rating Factor 3 – Vehicle Make/Model
                    Toyota               1.000
                    Honda                1.015
                    Proton               1.045
                    Perodua              1.085
                    Others               0.995
                Using the above sample hypothetical output, the computation of Motor
            insurance premium for four risk profile examples are shown below:

                Individual 1’s risk profile: Male, 40 years old, Honda
                Motor insurance premium = $850 x 1.000 x 1.000 x 1.015 = $862.75

                Individual 2’s risk profile: Male, 21 years old, Perodua
                Motor insurance premium = $850 x 1.000 x 1.250 x 1.085 = $1,152.81

                Individual 3’s risk profile: Female, 62 years old, Toyota
                Motor insurance premium = $850 x 0.975 x 0.988 x 1.000 = $818.81

                Individual 4’s risk profile: Female, 53 years old, Ford
                Motor insurance premium = $850 x 0.975 x 1.005 x 0.995 = $828.73







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