Table 2. Association between independent variables and the proportion of for-profit stations.
| Predictors | Zero-order correlations | Standardized regression coefficients | |
|---|---|---|---|
|
| |||
| Model without region | Model with region | ||
| Population density | −.03 | .06 | .02 |
| Income | −.03 | .01 | .12 |
| Physician-specialist | −.07 | .01 | −.10 |
| Population growth | *.23 | **.21 | .04 |
| Medicare reimbursement per enrollee | −.11 | −.03 | .05 |
| Midwest | — | — | **−.18 |
| South | — | — | **.30 |
| West | — | — | .05 |
| R2 | — | .06 | .17 |
*
Statistically significant at the p < .05 level.
**
Statistically significant at the p < .01 level.
NOTES: R2 is percent of variance explained.
SOURCE: Cleary, P.D., Harvard Medical School; Schlesinger, M., John F. Kennedy School of Government; Blumenthal, D., Massachusetts General Hospital.