The human resource manager of a large USA based IT company has derived a linear regression model to predict the current salary of an employee based on the employee's starting salary (in $), previous experience (in months) and years in education. The model's output is shown below:
| Regression Statistics |
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| R | 0.8938 |
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| R Square | 0.5914 |
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| Adjusted R Square | 0.8685 |
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| Standard Error | 7,308.39550 |
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| Sample Size | 95 |
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| Coefficients | Standard Error | t Stat | p-level |
| Intercept | -2247.32 | 4,165.04075 | -0.76211 | 0.44808 |
| Starting Salary | 26.17 | 0.11447 | 14.02690 | 0.00000E+0 |
| Previous Experience | -15.37 | 7.39860 | -1.03829 | 0.08204 |
| Education | 944.35 | 349.76133 | 2.15655 | 0.13383 |
By looking at the model's output what is an employee’s current salary if the employee started working with a salary of 20500$, has 2 years of previous experience and has been studying for 8 years? (Give your answer in 2 decimal points).
