A regional planner employed by a public university is studyingthe demographics of nine counties in the eastern region of anAtlantic seaboard state. She has gathered the following data:
| ounty | Median Income | Median Age | Coastal |
| A | $ | 48,952 | | 48.3 | 1 |
| B | | 46,669 | | 58.8 | 1 |
| C | | 47,780 | | 48.0 | 0 |
| D | | 46,855 | | 39.2 | 1 |
| E | | 37,724 | | 51.9 | 1 |
| F | | 35,414 | | 56.2 | 1 |
| G | | 34,389 | | 49.1 | 0 |
| H | | 38,128 | | 30.3 | 0 |
| I | | 30,384 | | 38.9 | 0 |
Include the aspect that the county is \"coastal\" or not in amultiple linear regression analysis using a \"dummy\" variable.(Negative amounts should be indicated by a minus sign.Round your answers to 2 decimal places.)
Income= _____________ + ______________ Median Age +____________ Coastal
Test each of the individual coefficients to see if they aresignificant. (Negative amounts should be indicated by aminus sign. Leave no cells blank - be certain to enter \"0\" whereverrequired. Round your answers to 2 decimal places.)
Predictor  t  p-value
Constant    Â
Median Age    Â
Coastal    Â
