Assuming that you are the actuary, help this insurance company to make policy decisions on  insurance premiums. Your suggestions should be based on the below findings. You can propose to  them to gather more evidence if there are important variables omitted in the above  model. Regression Statistics               Multiple R 0.88               R Square 0.78               Adjusted R Square 0.77               Standard Error 2.52               Observations 80.00                               ANOVA                   df SS MS F Significance F       Regression 3 1704.90 568.30 89.50 0.00       Residual 76 482.59 6.35           Total 79 2187.49                                 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0% Intercept 14.44 5.10 2.83 0.01 4.28 24.60 4.28 24.60 Mother's age at death 0.43 0.05 8.28 0.00 0.33 0.54 0.33 0.54 Father's age at death 0.42 0.05 8.38 0.00 0.32 0.52 0.32 0.52 No of years of employment -0.12 0.04 -2.69 0.01 -0.20 -0.03 -0.20 -0.03

MATLAB: An Introduction with Applications
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Author:Amos Gilat
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Assuming that you are the actuary, help this insurance company to make policy decisions on 
insurance premiums. Your suggestions should be based on the below findings. You can propose to 
them to gather more evidence if there are important variables omitted in the above 
model.

Regression Statistics

             

Multiple R

0.88

             

R Square

0.78

             

Adjusted R Square

0.77

             

Standard Error

2.52

             

Observations

80.00

             







               

ANOVA

               

 

df

SS

MS

F

Significance F

     

Regression

3

1704.90

568.30

89.50

0.00

     

Residual

76

482.59

6.35

         

Total

79

2187.49

 

 

 

     
                 

 

Coefficients

Standard Error

t Stat

P-value

Lower 95%

Upper 95%

Lower 95.0%

Upper 95.0%

Intercept

14.44

5.10

2.83

0.01

4.28

24.60

4.28

24.60

Mother's age at death

0.43

0.05

8.28

0.00

0.33

0.54

0.33

0.54

Father's age at death

0.42

0.05

8.38

0.00

0.32

0.52

0.32

0.52

No of years of employment

-0.12

0.04

-2.69

0.01

-0.20

-0.03

-0.20

-0.03

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