| x |
p |
log (p/(1-p)) |
| 4 |
0.17 |
-1.585627264 |
| 8 |
0.4 |
-0.405465108 |
| 12 |
0.5 |
0 |
| 16 |
0.56 |
0.241162057 |
| 20 |
0.96 |
3.17805383 |
| SUMMARY OUTPUT |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| Regression Statistics |
|
|
|
|
|
|
|
| Multiple R |
0.912588605 |
|
|
|
|
|
|
|
| R Square |
0.832817963 |
|
|
|
|
|
|
|
| Adjusted R Square |
0.777090617 |
|
|
|
|
|
|
|
| Standard Error |
0.832243508 |
|
|
|
|
|
|
|
| Observations |
5 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| ANOVA |
|
|
|
|
|
|
|
|
|
df |
SS |
MS |
F |
Significance F |
|
|
|
| Regression |
1 |
10.35101 |
10.35100594 |
14.94451 |
0.030613 |
|
|
|
| Residual |
3 |
2.077888 |
0.692629256 |
|
|
|
|
|
| Total |
4 |
12.42889 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Coefficients |
Standard Error |
t Stat |
P-value |
Lower 95% |
Upper 95% |
Lower 95.0% |
Upper 95.0% |
| Intercept |
-2.766572103 |
0.872864 |
-3.169532686 |
0.050499 |
-5.54442 |
0.011272 |
-5.54442 |
0.011272 |
| x |
0.254349734 |
0.065795 |
3.865813184 |
0.030613 |
0.044962 |
0.463738 |
0.044962 |
0.463738 |
ln(p/(1-p)) = -2.7665 + 0.2544 * x
| x |
ln(p/(1-p) |
p |
| 10 |
-0.223074765 |
0.444461 |
| 18 |
1.811723106 |
0.85957 |
The probability of success given 10 years of experience is:
.
= 0.4445
The probability of failure given 18 years of experience is:
.
= 1-0.85957
= 0.14043
