Hi there, could you help me with this, please? Thank you so much! Life insurance companies are keenly interested in predicting how long their customers will live, because their premiums and...


Hi there,


could you help me with this, please? Thank you so much!


Life insurance companies are keenly interested in predicting how long their customers will live, because their premiums and profitability depend on such numbers. An actuary for one insurance company gathered data from 100 recently deceased male customers. He recorded the age at death of the customer plus the ages at death of his mother and father, the mean ages at death of his grandmothers and the mean ages at death of his grandfathers. These data are recorded in columns 1 to 5 respectively, in file
LONGEVITY.xlsx.



  • Perform a multiple regression analysis on these data.

  • Interpret the coefficient estimates and their signs.

  • Test for the significance of all the independent variable coefficients. ( = 0.05)

  • Is the model likely to be useful in predicting men’s longevity?

  • Are the required conditions satisfied? Justify your answer.


Predict the longevity of a man whose parents lived to the age of 70, whose grandmothers averaged 80 years and whose grandfathers averaged 75.








































































































































































































































































































































































































































































































































































































































































































































LongevityMotherFatherGmothersGfathers
8085787271
7388637666
7066756757
7272676855
7988736473
8390727462
7067657059
7276717461
7266757163
7178647661
6769666169
7471767360
8074776968
6368666767
7170707167
6664666357
7482717565
7171716862
6575606362
7476666669
6669686165
7176676371
7369806461
7479707760
6874625963
7781787362
7785698065
7477697569
6872717266
6875636565
7482667262
7173726871
8084737768
7275617761
7782767163
7688697567
6265576857
7075576757
7172676764
6972636867
7379717465
7277697265
8480907271
7376746965
7078707854
7875745870
8283787765
7775667260
6768697362
7269726968
6767677266
7278646766
7573697161
7271666868
7573736659
8084757174
7278646661
7176617461
7177707361
8986777469
7479717077
7272777168
7478686772
7785777771
7772726364
7367716569
7274647462
6566637260
8182777369
7680706360
6471676666
7273696467
6975676062
5959626856
6973697253
7682657269
6371566153
6674647263
7285606767
6872666568
7380756767
7882727172
8382827672
7882707664
6773626559
7077606967
6874797265
6680637559
7576726964
7171607166
7277647069
7176676664
7779747370
6768687057
6871616664
6776626662
7477646669
7066686366
7278707164
6973607460
Jun 01, 2022
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