Expected Loss (Y) vs. Insured Value (X₃)

SUMMARY OUTPUT

Regression Statistics

Multiple R

0.880409749

R Square

0.775121327

Adjusted R Square

0.756381437

Standard Error

10097910.68

Observations

14

ANOVA

df

SS

MS

F

Significance F

Regression

1

4.2176E+15

4.2176E+15

41.36211

3.24852E-05

Residual

12

1.22361E+15

1.01968E+14

Total

13

5.44122E+15

Coefficients

Standard Error

t Stat

P-value

Lower 95%

Upper 95%

Intercept

3652037.556

4978606.76

0.733546097

0.477313

-7195414.54

14499489.65

Insured Value

0.368429276

0.057286568

6.431337943

3.25E-05

0.24361257

0.493245983

RESIDUAL OUTPUT

Observation

Predicted Expected Loss

Residuals

1

4122051.81

-3144337.133

2

8188190.754

-2445445.67

3

15521617.44

129750.999

4

16350760.71

-1776245.881

5

17154064.57

-4345259.39

6

23621224.68

4223549.533

7

27543198.72

13544565.12

8

30577497.87

17827578.83

9

32434541.69

-13398412.53

10

38626134.21

-6632884.853

11

43839500.03

-11489406.7

12

49965566.11

10682619.87

13

58288230.93

8207269.534

14

61588460.12

-11383341.73