In: Math
| X | Y/1 | Y/0 | |
| Years Exp | Successful | Unsccessful | total |
| 4 | 17 | 83 | 100 |
| 8 | 40 | 60 | 100 |
| 12 | 50 | 50 | 100 |
| 16 | 56 | 44 | 100 |
| 20 | 96 | 4 | 100 |
The data in tab #2 pertain to the years of experience of project managers and the numbers of successes and failures they have had on major projects. Use the data set given in tab #2 in the attached Excel workbook and logistic regression to find the following:
The probability of success given 10 years of experience is: .
The probability of failure given 18 years of experience is: .
| 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